Table of Contents

• Extending SpikePropBenjamin Schrauwen, Jan Van Campenhout. [doi]
• Organization of cell assemblies that code temporal sequences in a hippocampal CA3-CA1 modelMotoharu Yoshida, Hatsuo Hayashi. [doi]
• Face identification system using single hidden Markov model and single sample image per personHung-Son Le, Haibo Li 0001. [doi]
• Color and texture features for person recognitionMichael Hähnel, Daniel Klünder, Karl-Friedrich Kraiss. [doi]
• On stability and tuning of neural oscillators: application to rhythmic control of a humanoid robotArtur M. Arsenic. [doi]
• Time-frequency blind signal separation: extended methods, performance evaluation for speech sourcesYannick Deville, Matthieu Puigt, Benoit Albouy. [doi]
• A new method for multiclass support vector machinesDavide Anguita, Sandro Ridella, Dario Sterpi. [doi]
• Initialization of cluster refinement algorithms: a review and comparative studyJi He, Man Lan, Chew Lim Tan, Sam Yuan Sung, Hwee-Boon Low. [doi]
• Analysis of auditory fMRI recordings via ICA: a study on consistencyJarkko Ylipaavalniemi, Ricardo Vigário. [doi]
• Extracting symmetry axes: a neural network modelKunihiko Fukushima, Masayuki Kikuchi. [doi]
• A novel adaptive algorithm for the blind separation of periodic sourcesMaria G. Jafari, Jonathon A. Chambers. [doi]
• Self-organizing documentary maps for information retrievalQing Ma, Kousuke Enomoto, Masaki Murata. [doi]
• Emerging evolutionary features in noise driven STDP networks?Zsolt Palotai, Gábor Szirtes, András Lorincz. [doi]
• Superposition-based order analysis in self-organizing mapsLaurentiu Hetel, Jean-Luc Buessler, Jean-Philippe Urban. [doi]
• Real-time face shape and position recognition by a two-D spreading associative neural networkKiyomi Nakamura, Hironobu Takano, Tsukasa Sakamoto. [doi]
• Cellular neural networks and PCA neural networks based rotation/scale invariant texture classificationChin-Teng Lin, Shi-An Chen, Chao-Hui Huang, Jen-Feng Chung. [doi]
• An MOS cell circuit for compact implementation of reaction-diffusion modelsKoray Karahaliloglu, Sina Balkir. [doi]
• From passive to active subretinal implants, serving as adapting electronic substitution of degenerated photoreceptorsEberhart Zrenner, V. P. Gabel, Florian Gekeler, R. G. Graf, H. Gruber, H. Hammerle, K. Kohler, W. Nisch, Helmut Sachs, H. Sailer, K. Shinoda, Alfred Stett, Barbara Wilhelm. [doi]
• The effect of emotional bias in attentional processesNickolaos F. Fragopanagos, John G. Taylor. [doi]
• Attribute grammar encoding based upon a generic neural markup language: facilitating the design of theoretical neural network modelsTalib S. Hussain. [doi]
• Exploiting diversity of margin-based classifiersEnrique Romero, Xavier Carreras, Lluís Màrquez. [doi]
• Linguistic feature extraction using independent component analysisTimo Honkela, Aapo Hyvärinen. [doi]
• SOM-based optimizationMu-Chun Su, Yu-Xiang Zhao, Jonathan Lee. [doi]
• Segmenting handwritten text using supervised classification techniquesYi Sun 0001, Timothy S. Butler, Alex Shafarenko, Rod Adams, Martin J. Loomes, Neil Davey. [doi]
• Neural network models based on regularization techniques for off-line robot manipulator path planningDimitrios A. Karras. [doi]
• Graphical models for brain connectivity from functional imaging dataXuebin Zheng, Jagath C. Rajapakse. [doi]
• Computing with oscillations by phase encoding and decodingOle Jensen. [doi]
• A time-based self-organising model for document clusteringChihli Hung, Stefan Wermter. [doi]
• Korean Brain Neuroinformatics Research Program: the 3rd phase. From biology to artificial systems through mathematical modelSoo-Young Lee. [doi]
• A self-organized growing network for on-line unsupervised learningShen Furao, Osamu Hasegawa. [doi]
• Japan's center-of-excellence program: two COE's for brain science/technologyMinoru Tsukuda, Takeshi Yamakawa, Syozo Yasui. [doi]
• Efficient off-line feature selection strategies for on-line classifier systemsDávid Bálya, Gergely Tímár, István Szatmári, Csaba Rekeczky. [doi]
• Clinical results with the model 1IRP implantMark S. Humayun, Douglas Yanai, Robert J. Greenberg, James Little, Brian V. Mech, Manjunatha Mahadevappa, James D. Weiland, Gildo Y. Fujii, Eugene de Juan Jr.. [doi]
• WelcomeJosé C. Príncipe. [doi]
• High capacity associative memories and small world networksNeil Davey, Bruce Christianson, Rod Adams. [doi]
• Using support vector machines in multi-objective optimizationYeboon Yun, Hirotaka Nakayama, Masao Arakawa. [doi]
• Fast stochastic neighbor embedding: a trust-region algorithmKijoeng Nam, Hongmo Je, Seungjin Choi. [doi]
• Assessing similarity of emergent representations based on unsupervised learningJuha Raitio, Ricardo Vigário, Jaakko Särelä, Timo Honkela. [doi]
• Analysis of equine gaitprint and other gait characteristics using self-organizing maps (SOM)Ellen Bajcar, David Calvert, Jeff Thomason. [doi]
• Value estimation based computer-assisted data mining for surfing the InternetBálint Gábor, Zsolt Palotai, András Lorincz. [doi]
• A new condition for the global robust exponential periodicity of interval neural networks with delaysChangyin Sun, Derong Liu 0001, Chun-Bo Feng. [doi]
• Comparison of four support-vector based function approximatorsBas J. de Kruif, Theo J. A. de Vries. [doi]
• Neural network and tree automaton for seismic pattern recognitionKou-Yuan Huang, Yi-Hsian Chao. [doi]
• Non-crossing quantile regressions by SVMIchiro Takeuchi, Takeshi Furuhashi. [doi]
• Adaptive perception with locally-adaptable sensor arrayRóbert Wagner, Ákos Zarándy, Tamás Roska. [doi]
• A new visualization scheme for self-organizing neural networksCristián J. Figueroa, Pablo A. Estévez. [doi]
• Deep sleep: understanding the process of hippocampal playback and plasticityMatthew Hartley, Neill R. Taylor, John G. Taylor. [doi]
• Combining visual and proprioceptive information in a model of spatial learning and navigationRicardo Chavarriaga, Wulfram Gerstner. [doi]
• Synthesis method of neural oscillators by network learningYasuaki Kuroe, Kei Miura, Takehiro Mori. [doi]
• Knowing what and where: a computational model for visual attentionKaustubh Chokshi, Christo Panchev, Stefan Wermter, John G. Taylor. [doi]
• A sparse least squares support vector machine classifierJózsef Valyon, Gábor Horváth 0001. [doi]
• Active learning system for object fingerprintingSwarup Medasani, Narayan Srinivasa, Yuri Owechko. [doi]
• Challenges and opportunities for analog neural processing in the deep submicron SoC eraÁngel Rodríguez-Vázquez. [doi]
• Feature extraction CNN algorithms for artificial immune systemsGyörgy Cserey, András Falus, Wolfgang Porod, Tamás Roska. [doi]
• Bayesian evolution of rich neural networksMatteo Matteucci, Dario Spadoni. [doi]
• Non-Euclidean self-organizing classification using natural manifold distanceSaichon Jaiyen, Chidchanok Lursinsap. [doi]
• Single channel speech recovery by codingAllan Kardec Barros, Edson Nascimento, Noboru Ohnishi. [doi]
• Hidden Markov model finds behavioral patterns of users working with a headmouse driven writing toolGyörgy Hévízi, Mihály Biczó, Barnabás Póczos, Zoltán Szabó 0001, Bálint Takács, András Lörincz. [doi]
• Information theoretic spectral clusteringRobert Jenssen, Torbjørn Eltoft, José C. Príncipe. [doi]
• Design of a new subretinal implant for prosthetic visionJohn Wyatt. [doi]
• Associative memory by Hopfield NN with chaos injectionYoko Uwate, Yoshifumi Nishio, Tohru Ikeguchi. [doi]
• An associator network approach to robot learning by imitation through vision, motor control and languageMark Elshaw, Cornelius Weber, Alexandros Zochios, Stefan Wermter. [doi]
• The CNN: a brain-like computerLeon O. Chua. [doi]
• Generational trends in obesity in the United States: analysis with a wavelet coefficient self-organizing mapSusan B. Garavaglia. [doi]
• Excerpts of research in brain sciences and neural networks in SingaporeJagath C. Rajapakse, Dipti Srinivasan, Meng Joo Er, Guang-Bin Huang, Lipo Wang. [doi]
• Comparative performance analysis of eight blind source separation methods on radiocommunications signalsPascal Chevalier 0001, Laurent Albera, Pierre Comon, Anne Ferréol. [doi]
• Modelling human attention and emotionsJohn G. Taylor, Nickolaos F. Fragopanagos. [doi]
• Kernel CMAC with improved capabilityGábor Horváth 0001. [doi]
• PrefaceTamás Roska, Joos Vandewalle. [doi]
• President's WelcomeJacek M. Zurada. [doi]
• Fast bootstrap applied to LS-SVM for long term prediction of time seriesAmaury Lendasse, Vincent Wertz, Geoffroy Simon, Michel Verleysen. [doi]
• Pattern recovery in networks of recursive processing elements with continuous learningEmílio Del Moral Hernandez, Humberto Sandmann, Leonardo Augusto da Silva. [doi]
• Global behavior of neural error correctionMichael Stiber, Thomas Holderman. [doi]
• Evolving fuzzy neural networks applied to odor recognition in an artificial noseCleber Zanchettin, Teresa Bernarda Ludermir. [doi]
• Complex synaptic activation of bipolar, amacrine and ganglion cells is elicited with biphasic electrical stimulationShelley Fried, Tim Kubow, Frank Werblin. [doi]
• Comparative study of connectionist techniques for implementing the pattern recognition system of an artificial noseMarcelo B. de Almeida, Marcilio C. P. de Souto, Teresa Bernarda Ludermir. [doi]
• Kernel-based subpixel target detection in hyperspectral imagesHeesung Kwon, Nasser M. Nasrabadi. [doi]
• Patterns, clusters, and components - what data is made ofErkki Oja. [doi]
• Neural coding model of perceptual reconstruction using the morphoelectrotonic transform theoryNorifumi Watanabe, Shun Ishizaki. [doi]
• Nonlinear independent component analysis by homomorphic transformation of the mixturesDeniz Erdogmus, Yadunandana N. Rao, José C. Príncipe. [doi]
• Dendritic processing in hippocampal pyramidal cells and its modulation by inhibitory interneuronsSzabolcs Káli, Tamás F. Freund. [doi]
• Vector-quantization by density matching in the minimum Kullback-Leibler divergence senseAnant Hegde, Deniz Erdogmus, Tue Lehn-Schiøler, Yadunandana N. Rao, José C. Príncipe. [doi]
• An adaptable connectionist text retrieval system with relevance feedbackMahmood R. Azimi-Sadjadi, Jaime Salazar, Saravanakumar Srinivasan, Sassan Sheedvash. [doi]
• An attempt in modelling early intervention in autism using neural networksAndrew P. Paplinski, Lennart Gustafsson. [doi]
• Support conformal vector machines with optimal Bayes pointEduardo Bayro-Corrochano. [doi]
• Extracting the knowledge embedded in support vector machinesXiuju Fu, Chong Jin Ong, Sathiya Keerthi, Gih-Guang Hung, Li Ping Goh. [doi]
• Cluster-based support vector machines in text-independent speaker identificationSheng-Yu Sun, Chih-Lung Tseng, Y. H. Chen, S. C. Chuang, Hsin-Chia Fu. [doi]
• Memory encoding of object relocation in a hierarchical associative network with theta phase codingNaoyuki Sato, Yoko Yamaguchi. [doi]
• ICA for modelling and generating organ pipes self-sustained tonesAngelo Ciaramella, Enza De Lauro, Salvatore De Martino, Mariarosaria Falanga, Roberto Tagliaferri. [doi]
• Pattern detection by cellular neuronal networks (CNN) in long-term recordings of a brain electrical activity in epilepsyPhilipp Fischer, Ronald Tetzlaff. [doi]
• Primal space sparse kernel partial least squares regression for large scale problemsLuc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor. [doi]
• Studying the capacity of cellular encoding to generate feedforward neural network topologiesGermán Gutiérrez, Inés María Galván, José M. Molina 0001, Araceli Sanchis. [doi]
• Object permanence: results from developmental roboticsYi Chen, Juyang Weng, Xiao Huang. [doi]
• Mapping LSSVM on digital hardwareDavide Anguita, Andrea Boni, Alessandro Zorat. [doi]
• Learning and forgetting - how they should be balanced in SOM algorithmYouichi Kobuchi, Masataka Tanoue. [doi]
• Concerning the mapping of ambiguous retinal output vectors onto unambiguous visual perceptsRolf Eckmiller, Dirk Neumann 0001, Oliver Baruth. [doi]
• Regional and online learnable fieldsRolf Schatten, Nils Goerke, Rolf Eckmiller. [doi]
• Information maximization with Gaussian activation functions to generate explicit self-organizing mapsRyotaro Kamimura, Yukiko Maruyama. [doi]
• Face recognition methods based on principal component analysis and feedforward neural networksMilos Oravec, Jarmila Pavlovicova. [doi]
• A recurrent neural network for solving variational inequality problems with nonlinear constraintsYoushen Xia, Jun Wang 0002. [doi]
• Nanoelectronic neuromorphic networks (CrossNets): new resultsÖzgür Türel, Jung Hoon Lee, Xiaolong Ma, Konstantin K. Likharev. [doi]
• Estimating driving performance based on EEG spectrum and fuzzy neural networkRuei-Cheng Wu, Chin-Teng Lin, Sheng-Fu Liang, Te-Yi Huang, Yu-Chieh Chen, Tzyy-Ping Jung. [doi]
• AMIFS: adaptive feature selection by using mutual informationMichel Tesmer, Pablo A. Estévez. [doi]
• Training of the dynamic neural networks via constrained optimisationKrzysztof Patan. [doi]
• A virtual exploring mobile robot for left ventricle contour trackingFaiza Admiraal-Behloul, Boudewijn P. F. Lelieveldt, Luca Ferrarini, Hans Olofsen, Rob J. van der Geest, Johan H. C. Reiber. [doi]
• Minimum entropy, k-means, spectral clusteringYongjin Lee, Seungjin Choi. [doi]
• A part-versus-part method for massively parallel training of support vector machinesBao-Liang Lu, Kai-An Wang, Masao Utiyama, Hitoshi Isahara. [doi]
• Trust-region learning for ICAHeeyoul Choi, Sookjeong Kim, Seungjin Choi. [doi]
• Functional role of entorhinal cortex in working memory and information processing of the medial temporal lobeErik A. Fransen. [doi]
• Simple algorithm for recurrent neural networks that can learn sequence completionIstvan Szita, András Lorincz. [doi]
• Influences of target discrimination capability on hand trackingYasuhiro Takachi, Fumihiko Ishida, Yasuji Sawada. [doi]
• Cross-language information retrieval using latent semantic indexing and self-organizing mapsNikolaos Ampazis, Helen Iakovaki. [doi]
• Attention-based learningStathis Kasderidis, John G. Taylor. [doi]
• An hypothesis on the origin of variable spatial scaling along the septo-temporal axis of the rodent hippocampusBruce L. McNaughton, Alejandro Terrazas, Carol A. Barnes, Francesco P. Battaglia. [doi]
• Regularization constants in LS-SVMs: a fast estimate via convex optimizationKristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor. [doi]
• The e-PCA and m-PCA: dimension reduction of parameters by information geometryShotaro Akaho. [doi]
• Scaling up support vector data description by using core-setsCalvin S. Chu, Ivor W. Tsang, James T. Kwok. [doi]
• Co-evolutionary particle swarm optimization applied to the 7×7 Seega gameAshraf M. Abdelbar, Sherif Ragab, Sara Mitri. [doi]
• A relational multi-objective genetic algorithmSum-wai Lee, Hung-Tat Tsui. [doi]
• In vivo evaluations of retinal prosthesesJoel Salzmann, Pontus Linderholm, Michel Pâques, Manuel Simonutti, J. A. Chiappore, Avinoam B. Safran, Philippe Renaud, José-Alain Sahel, Serge Picaud. [doi]
• Adaptation of facial feature extraction and rule generation in emotion-analysis systemsSivann Ioannou, Amaryllis Raouzaiou, Kostas Karpouzis, Stefanos D. Kollias. [doi]
• Kernel-based associative memoryDimitri Nowicki, Oleksiy Dekhtyarenko. [doi]
• Independent component analysis for semi-blind signal separation in MIMO mobile frequency selective communication channelsDragan Obradovic, Nilesh Madhu, Andrei Szabo, Chiu Shun Wong. [doi]
• Japanese Neuroinformatics Project in Vision and RIKEN Brain Science InstituteShiro Usui, Shun-ichi Amari. [doi]
• Blotch removal in degraded digital video using independent component analysisMichele Ceccarelli, Alfredo Petrosino. [doi]
• Generalization of topology preserving maps: a graph approachÁrpád Barsi. [doi]
• Neurophysiology of the primate hippocampus leading to a model of its functions in episodic and spatial memoryEdmund T. Rolls, Simon M. Stringer. [doi]
• Fuzzy hidden Markov predictor in electric load forecastingMarcelo Andrade Teixeira, Gerson Zaverucha. [doi]
• SVM classification tree algorithm with application to face membership authenticationShaoning Pang 0001. [doi]
• Comparison of loss functions for linear regressionVladimir Cherkassky, Yunqian Ma. [doi]
• Spatially chunking support vector clustering algorithmTao Ban, Shigeo Abe. [doi]
• Adaptive second order self-organizing mapping for 2D pattern representationBanchar Arnonkijpanich, Chidchanok Lursinsap. [doi]
• Why pairwise is better than one-against-all or all-at-onceDaisuke Tsujinishi, Yoshiaki Koshiba, Shigeo Abe. [doi]
• How chaos boosts the encoding capacity of small recurrent neural networks : learning considerationColin Molter, Utku Salihoglu, Hugues Bersini. [doi]
• Non-stationary data domain description using weighted support vector novelty detectorFatih Camci, Ratna Babu Chinnam. [doi]
• M-SOM: matricial self organizing map for sequence clustering and classificationFarida Zehraoui, Younès Bennani. [doi]
• Context discerning multifunction networks: reformulating fixed weight neural networksRoberto A. Santiago. [doi]
• Speeding up the IRWLS convergence to the SVM solutionFernando Pérez-Cruz, Antonio Artés-Rodríguez. [doi]
• Connectionist based Dempster-Shafer evidential reasoning for data fusionHongwei Zhu, Otman Basir. [doi]
• Direct kernel least-squares support vector machines with heuristic regularizationMark J. Embrechts. [doi]
• Surface reconstruction using neural networks and adaptive geometry meshesAgostinho de Medeiros Brito Júnior, Adrião Duarte Dória Neto, Jorge Dantas de Melo. [doi]
• Empirical comparison and evaluation of classifier performance for data mining in customer relationship managementSven F. Crone, Stefan Lessmann, Robert Stahlbock. [doi]
• Neuroinformatics: development of shared neuroscience databases and tools at the Australian National Neuroscience FacilityGary F. Egan. [doi]
• Adaptive selective kernel learning algorithmsAnthony Kuh. [doi]
• Information transmission from a retina implant to the cat visual cortexReinhard Eckhorn, Marcus Eger, Marcus Wilms, Thomas Schanze. 64-466 [doi]
• Spike train decoding scheme for a spiking neural networkHesham H. Amin, Robert H. Fujii. 477-482 [doi]
• Dual threshold based neural modeling to study systems of spiking neuronsJeffrey J. Lovelace, Krzysztof J. Cios. 483-488 [doi]
• On stable learning of block-diagonal recurrent neural networks, Part 1: the RENNCOM algorithmParis A. Mastorocostas, John B. Theocharis. 815-820 [doi]
• On stable learning of block-diagonal recurrent neural networks, part 2: application to the analysis of lung soundsParis A. Mastorocostas, John B. Theocharis. 821-826 [doi]
• On global exponential periodicity of dynamical neural systemsChangyin Sun, Dequan Li, Liangzheng Xia, Chun-Bo Feng. 827-830 [doi]
• Flow estimation using an Elman networksLuiz Biondi Neto, Pedro Henrique Gouvêa Coelho, João Carlos Correia Baptista Soares de Mello, Lidia Angulo Meza, Maria Luiza F. Velloso. 831-836 [doi]
• A comparison of first- and second-order training algorithms for dynamic neural networksFerid Bajramovic, Christian Gruber, Bernhard Sick. 837-842 [doi]
• Backpropagation-decorrelation: online recurrent learning with O(N) complexityJochen J. Steil. 843-848 [doi]
• A novel recurrent neural network with minimal representation for dynamic system identificationYen-Ping Chen, Jeen-Shing Wang. 849-854 [doi]
• Active training on the CMAC neural networkLuis Weruaga. 855-860 [doi]
• A pruning structure of self-organizing HCMAC neural network classifierChih-Ming Chen 0001, Chin-Ming Hong, Yung-Feng Lu. 861-866 [doi]
• The treatment of image boundary effects in CMAC networksHung-Ching Lu, Ted Tao. 867-872 [doi]
• Integrated structure design for CMAC-based fuzzy logic controllerHung-Ching Lu, Jui-Chi Chang. 873-878 [doi]
• Fault accommodation for nonlinear systems using cerebellar model articulation controllerChih-Min Lin, Yu-Ju Liu, Chiu-Hsiung Chen, Li-Yang Chen. 879-883 [doi]
• Adaptive recurrent cerebellar model articulation controller for unknown dynamic systems with optimal learning-ratesYa-Fu Peng, Chih-Min Lin, Wei-Laing Chin. 885-890 [doi]
• Higher order differential correlation associative memory of sequential patternsHiromi Miyajima, Noritaka Shigei, Yasuo Hamakawa. 891-896 [doi]
• Chaos associative memory modelMasahiro Nakagawa. 897-902 [doi]
• Chaotic associative memory using distributed patterns for image retrieval by shape informationSatoshi Kosuge, Yuko Osana. 903-908 [doi]
• Vector-neuron models of associative memoryBoris V. Kryzhanovsky, Leonid B. Litinskii, Andrey L. Mikaelian. 909-914 [doi]
• A morphological auto-associative memory based on dendritic computingGerhard X. Ritter, Laurentiu Iancu. 915-920 [doi]
• Influence of parameter deviations in an associative chaotic neural networkMasaharu Adachi. 921-924 [doi]
• Introduction to implicative fuzzy associative memoriesMarcos Eduardo Valle, Peter Sussner, Fernando Gomide. 925-930 [doi]
• Properties of a chaotic network separating memory patternsPawel Matykiewicz. 931-935 [doi]
• Forms of adapting patterns to Hopfield neural networks with larger number of nodes and higher storage capacityClayton Silva Oliveira, Emílio Del Moral Hernandez. 937-942 [doi]
• Pattern memory and acquisition based on stability of cellular neural networksZhigang Zeng, De-Shuang Huang. 943-947 [doi]
• Second-order generalizationRichard Stuart Neville. 949-954 [doi]
• Searching for linearly separable subsets using the class of linear separability methodDavid Elizondo. 955-959 [doi]
• The application of OBE to neural networksYan Jiang, Qing He, Tiaosheng Tong, Werner Dilger. 961-966 [doi]
• On learning a function of perceptronsMartin Anthony. 967-972 [doi]
• On a generalization complexity measure for Boolean functionsLeonardo Franco, Martin Anthony. 973-978 [doi]
• Softprop: softmax neural network backpropagation learningMichael Rimer, Tony R. Martinez. 979-983 [doi]
• Extreme learning machine: a new learning scheme of feedforward neural networksGuang-Bin Huang, Qin-Yu Zhu, Chee Kheong Siew. 985-990 [doi]
• Multiple-start directed search for improved NN solutionLee A. Feldkamp, Danil V. Prokhorov, Charles F. Eagen. 991-996 [doi]
• Over-fitting behavior of Gaussian unit under Gaussian noiseKatsuyuko Hagiwara, Kenji Fukumizu. 997-1002 [doi]
• Multi-layer perceptron learning in the domain of attributed graphsBrijnesh J. Jain, Fritz Wysotzki. 1003-1008 [doi]
• Model selection methods in multilayer perceptronsElisa Guerrero Vázquez, Pedro L. Galindo, Joaquín Pizarro Junquera, Andrés Yáñez Escolano. 1009-1014 [doi]
• A study of removing hidden neurons in cascade-correlation neural networksXun Liang, Long Ma. 1015-1020 [doi]
• An alternative approach to solve convergence problems in the backpropagation algorithmAlessandro Goedtel, Ivan Nunes da Silva, Paulo Jose Amaral Semi. 1021-1026 [doi]
• Approximation of interval models by neural networksXifan Yao, ShengDa Wang, Shaoqiang Dong. 1027-1032 [doi]
• Deterministic weight modification algorithm for efficient learningSin Chun Ng, Chi-Chung Cheung, Shu Hung Leung. 1033-1038 [doi]
• Multi-branch structure and its localized property in layered neural networksTakashi Yamashita, Kotaro Hirasawa, Jinglu Hu. 1039-1044 [doi]
• A study on the simple penalty term to the error function from the viewpoint of fault tolerant trainingHaruhiko Takase, Hidehiko Kita, Terumine Hayashi. 1045-1050 [doi]
• Threshold-based multi-thread EM algorithmTetsuro Kawai, Ryohei Nakano. 1051-1056 [doi]
• Incremental learning from unbalanced dataMichael Muhlbaier, Apostolos Topalis, Robi Polikar. 1057-1062 [doi]
• Parallel tangent methods with variable stepsizeYiannis G. Petalas, Michael N. Vrahatis. 1063-1066 [doi]
• Nonextensive entropy and regularization for adaptive learningAristoklis D. Anastasiadis, George D. Magoulas. 1067-1072 [doi]
• An on-line learning neuro-fuzzy system based on artificial immune systemsMu-Chun Su, Yuan-Shao Yang, Chien-Hsing Chou, Eugene Lai, Min-Nan Hsiao. 1073-1078 [doi]
• Two stochastic dynamic programming problems by model-free actor-critic recurrent-network learning in non-Markovian settingsEiji Mizutani, Stuart E. Dreyfus. 1079-1084 [doi]
• Reinforcement learning in multiresolution object recognitionKhan M. Iftekharuddin, Taufiq Widjanarko. 1085-1090 [doi]
• Model-free off-policy reinforcement learning in continuous environmentPawel Wawrzynski, Andrzej Pacut. 1091-1096 [doi]
• Asymmetric multiagent reinforcement learning in pricing applicationsVille Könönen, Erkki Oja. 1097-1102 [doi]
• Forecasting series-based stock price data using direct reinforcement learningHailin Li, Cihan H. Dagli, David Enke. 1103-1108 [doi]
• A reinforcement learning scheme for acquisition of via-point representation of human motionYasuhiro Wada, Keiichi Sumita. 1109-1114 [doi]
• State space construction of reinforcement learning agents based upon anticipated sensory changesHisashi Handa. 1115-1120 [doi]
• Incremental policy learning: an equilibrium selection algorithm for reinforcement learning agents with common interestsNancy Fulda, Dan Ventura. 1121-1125 [doi]
• Overcoming communication restrictions in collectivesKagan Tumer, Adrian K. Agogino. 1127-1132 [doi]
• Response knowledge learning of autonomous agentChi-Kin Chow 0001, Hung-Tat Tsui. 1133-1136 [doi]
• Online learning theory of ensemble learning using linear perceptronsKazuyuki Hara, Masato Okada. 1139-1143 [doi]
• Hyperspectral image classification by ensembles of multilayer feedforward networksMercedes Fernández-Redondo, Carlos Hernández-Espinosa, Joaquín Torres-Sospedra. 1145-1149 [doi]
• Analysis of ensemble learning using simple perceptrons based on online learning theorySeiji Miyoshi, Kazuyuki Hara, Masato Okada. 1151-1156 [doi]
• Sharing training patterns in neural network ensemblesRozita A. Dara 0001, Mohamed Kamel. 1157-1161 [doi]
• AdaBoost.RT: a boosting algorithm for regression problemsDimitri P. Solomatine, Durga Lal Shrestha. 1163-1168 [doi]
• Design of experiments by committee of neural networksNicolas Gilardi, Abdelaziz Faraj. 1169-1172 [doi]
• Semi-optimal hierarchical regression models and ANNsDimitri P. Solomatine, Michael Baskara L. A. Siek. 1173-1177 [doi]
• Aligning multiple protein sequence by an improved genetic algorithmGuang-Zheng Zhang, De-Shuang Huang. 1179-1183 [doi]
• Representation of DNA sequences with multiple resolutions and BP neural network based classificationXin Huang, De-Shuang Huang, Hong-Qiang Wang, Xing-Ming Zhao. 1185-1189 [doi]
• Modelling gene expression time-series with radial basis function neural networksCarla S. Möller-Levet, Kwang-Hyun Cho, Hujun Yin, Olaf Wolkenhauer. 1191-1195 [doi]
• Inductive vs transductive inference, global vs local models: SVM, TSVM, and SVMT for gene expression classification problemsShaoning Pang 0001, Nikola K. Kasabov. 1197-1202 [doi]
• Computational neurogenetic modelling: gene networks within neural networksNikola K. Kasabov, Lubica Benuskova, Simei Gomes Wysoski. 1203-1208 [doi]
• On generalization of multilayer neural network applied to predicting protein secondary structureKenji Nakayama, Akihiro Hirano, Ken-ichi Fukumura. 1209-1213 [doi]
• Inference of genetic regulatory networks from time series gene expression dataRui Xu 0001, Xiao Hu, Donald C. Wunsch II. 1215-1220 [doi]
• Comparison of self-organizing map with K-means hierarchical clustering for bioinformatics applicationsSomnath S. Shahapurkar, Malur K. Sundareshan. 1221-1226 [doi]
• Generic bi-layered net of the "functional nodes" in process modelingBéla Csukás, Gyöngyi Bánkuti. 1227-1232 [doi]
• Modeling and controlling interstate conflictTshilidzi Marwala, Monica Lagazio. 1233-1238 [doi]
• Supervisory enhanced genetic algorithm control for indirect field-oriented induction motor driveRong-Jong Wai, Jeng-Dao Lee, Kuo-Ho Su. 1239-1244 [doi]
• Neural network control for leg rhythmic movements via functional electrical stimulationDingguo Zhang, Kuanyi Zhu. 1245-1248 [doi]
• Comparative analysis of neural predictive controllers and its application to a laboratory tank systemMartin Alayon, Doris Sáez, Ricardo Veiga. 1249-1254 [doi]
• Observer-based adaptive neural control for nonlinear systemsShaocheng Tong, Yan Shi. 1255-1260 [doi]
• A direct adaptive neural control for MIMO nonlinear systems with output delaysWen-Shyong Yu. 1261-1266 [doi]
• Neural-network-based approximate predictive control for the start-up of a steam generatorDionisio A. Suárez Cerda. 1267-1272 [doi]
• Dynamics of oscillator network and its application to offset control of traffic signalsIkulo Nishikawa. 1273-1277 [doi]
• Addressing to online adaptive controller malfunction in fault tolerant controlPedro G. DeLima, Gary G. Yen. 1279-1284 [doi]
• Stability analysis of a DC motor system using universal learning networksAhmed Hussein, Kotaro Hirasawa, Jinglu Hu. 1285-1290 [doi]
• Modelling of gasoline blending via discrete-time neural networksWen Yu 0001, Marco Antonio Moreno-Armendáriz, Eduardo Gómez-Ramírez. 1291-1296 [doi]
• Projection-based gradient descent training of radial basis function networksMehmet Kerem Müezzinoglu, Jacek M. Zurada. 1297-1302 [doi]
• A novel clustering-neural tree for pattern classificationZhong-Qiu Zhao, De-Shuang Huang, Lin Guo. 1303-1308 [doi]
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• Fire detection systems by compact electronic nose systems using metal oxide gas sensorsBancha Charumporn, Sigeru Omatu 0001, Michifumi Yoshioka, Toru Fujinaka, Toshihisa Kosaka. 1317-1320 [doi]
• Real-time intelligent pattern recognition, resource management and control under constrained resources for distributed sensor networksAshit Talukder, Tanwir Sheikh, Lavanya Chandramouli. 1321-1326 [doi]
• Feature weighting using neural networksXinchuan Zeng, Tony R. Martinez. 1327-1330 [doi]
• Using permutations instead of student's t distribution for p-values in paired-difference algorithm comparisonsJoshua E. Menke, Tony R. Martinez. 1331-1335 [doi]
• A feature extraction technique for online handwriting recognitionBrijesh K. Verma, Jenny Lu, Moumita Ghosh, Ranadhir Ghosh. 1337-1341 [doi]
• Fast insect damage detection in wheat kernels using transmittance imagesZehra Cataltepe, Thomas Pearson, A. Enis Çetin. 1343-1346 [doi]
• Self-enhanced relevant component analysis with side-information and unlabeled dataFei Wu 0003, Yonglei Zhou, Changshui Zhang. 1347-1351 [doi]
• Simultaneous estimation of odor classes and concentrations using an electronic noseDaqi Gao, Qin Miao, Guiping Nie. 1353-1358 [doi]
• Relevance feedback document retrieval using support vector machinesTakashi Onoda, Hiroshi Murata, Seiji Yamada. 1359-1364 [doi]
• Knowledge acquisition and revision via neural networksArnulfo P. Azcarraga, Ming-Huei Hsieh, Shan Ling Pan, Rudy Setiono. 1365-1370 [doi]
• Optimal brain surgeon variants for feature selectionMohammed Attik, Laurent Bougrain, Frédéric Alexandre. 1371-1374 [doi]
• An input variable importance definition based on empirical data probability and its use in variable selectionVincent Lemaire 0001, Fabrice Clérot. 1375-1380 [doi]
• A constructive unsupervised learning algorithm for clustering binary patternsDi Wang 0040, Narendra S. Chaudhari, Jagdish C. Patra. 1381-1385 [doi]
• MLP networks for classification and prediction with rule extraction mechanismPaulemir G. Campos, Eleonora Ma. Jesus Oliveira, Teresa Bernarda Ludermir, Aluízio F. R. Araújo. 1387-1392 [doi]
• Prediction of rainfall rate based on weather radar measurementsChrysovalantis Christodoulou, Silas C. Michaelides, Marco Gabella, Constantinos S. Pattichis. 1393-1396 [doi]
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• Thematic role assignment through a biologically plausible symbolic-connectionist hybrid systemJoão Luís Garcia Rosa, Alberione Braz da Silva. 1457-1462 [doi]
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• Using latent attractors to discern temporal orderSimona Doboli, Ali A. Minai. 1469-1474 [doi]
• Information transformation from a spatiotemporal pattern to synchrony through STDP networkRyosuke Hosaka, Tohru Ikeguchi, Hikoichiro Nakamura, Osamu Araki. 1475-1480 [doi]
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• Hippocampal and prefrontal cortical mechanisms for goal-directed and memory-guided behaviorMichael E. Hasselmo. 1493-1498 [doi]
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• Neural communication systemsPeter Andras 0001. 1523-1528 [doi]
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• A new hybrid neural architecture (MLP+RPE) for hetero association: multi layer perceptron and coupled recursive processing elements neural networksEmílio Del Moral Hernandez, Leandro Augusto da Silva 0001. 1533-1538 [doi]
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• Time series prediction with evolvable block-based neural networksSeong G. Kong. 1579-1583 [doi]
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• Unsupervised gene selection via spectral biclusteringBing Liu 0014, Chunru Wan, Lipo Wang. 1681-1686 [doi]
• Combing genetic algorithm with neural network technique for protein inter-residue spatial distance predictionGuang-Zheng Zhang, De-Shuang Huang. 1687-1691 [doi]
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• A new VLSI model of neural microcircuits including spike time dependent plasticityJohannes Schemmel, Karlheinz Meier, Eilif Mueller. 1711-1716 [doi]
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• Hybrid inductive models: deterministic crowding employedPavel Kordík, Miroslav Snorek, Marko Genyk-Berezovskyj. 2343-2346 [doi]
• Integrating phrases to enhance HSOMART-based document clusteringMahmoud F. Hussin, Mohamed S. Kamel. 2347-2352 [doi]
• Mahalanobis distance-based ARTMAP networkHongyu Xu, Marko Vuskovic. 2353-2359 [doi]
• MS-TSKfnn: novel Takagi-Sugeno-Kang fuzzy neural network using ART like clusteringDi Wang 0004, Chai Quek, Geok See Ng. 2361-2366 [doi]
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• Determining in-situ stress profiles of hydrocarbon reservoirs from geophysical well logs using intelligent systemsShahab D. Mohaghegh, Andrei Popa, Razi Gaskari, Steve Wolhart, Bob Siegfried, Sam Ameri. 2431-2436 [doi]
• Neural network fusion strategies for identifying breast massesYunfeng Wu, Jingjing He, Yi Man, Juan Ignacio Arribas. 2437-2442 [doi]
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• Classification of fetal heart rate during labour using hidden Markov modelsGeorge G. Georgoulas, Chrysostomos D. Stylios, George Nokas, Peter P. Groumpos. 2471-2475 [doi]
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• 3D spatial analysis of fMRI data: a comparison of ICA and GLM analysis on a word perception taskIngo R. Keck, Fabian J. Theis, Peter Gruber 0002, Elmar Wolfgang Lang, Karsten Specht, Carlos García Puntonet. 2495-2499 [doi]
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• Continuous time delay neural networks for detection of temporal patterns in signalsReza Derakhshani, Stephanie A. C. Schuckers. 2723-2728 [doi]
• Interdisciplinary research and speech rhythmOleg Skljarov. 2729-2733 [doi]
• Financial forecasting using random subspace classifierDmitry V. Zhora. 2735-2740 [doi]
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• Randomized approach to verification of neural networksRadosiaw R. Zakrzewski. 2819-2824 [doi]
• Partially observed valuesTapani Raiko. 2825-2830 [doi]
• Teacher-directed information maximization: supervised information-theoretic competitive learning with Gaussian activation functionsRyotaro Kamimura. 2831-2836 [doi]
• Greedy network-growing by Minkowski distance functionsRyotaro Kamimura, Osamu Uchida. 2837-2842 [doi]
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• Scene learning and glance recognizability based on competitively growing spiking neural networkMasayasu Atsumi. 2859-2864 [doi]
• Symbol grounding transfer with hybrid self-organizing/supervised neural networksThomas Riga, Angelo Cangelosi, Alberto Greco 0002. 2865-2869 [doi]
• Classifying cognitive states from fMRI data using neural networksIosif-Viorel Onut, Ali A. Ghorbani 0001. 2871-2875 [doi]
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