Table of Contents

• Voice-based gender identification via multiresolution frame classification of spectro-temporal mapsMohammad Abdollahi, Ehsan Valavi, Hossein Ahmadi Noubari. 1-4 [doi]
• Spatial pyramids and two-layer stacking SVM classifiers for image categorization: A comparative studyAzizi Abdullah, Remco C. Veltkamp, Marco A. Wiering. 5-12 [doi]
• Identification and control of time-varying plants using type-2 fuzzy neural systemRahib Hidayat Abiyev, Okyay Kaynak. 13-19 [doi]
• Orienting learning by exploiting sociality: An evolutionary robotics simulationAlberto Acerbi, Davide Marocco. 20-27 [doi]
• Combined multi-layer perceptron neural network and sliding mode technique for parallel robots control : An adaptive approachBrahim Achili, Boubaker Daachi, Arab Ali Chérif, Yacine Amirat. 28-35 [doi]
• Counting objects with biologically inspired regulatory-feedback networksTsvi Achler, Dervis C. Vural, Eyal Amir. 36-40 [doi]
• Using non-oscillatory dynamics to disambiguate simultaneous patternsTsvi Achler. 41-48 [doi]
• Help-training semi-supervised LS-SVMMathias M. Adankon, Mohamed Cheriet. 49-56 [doi]
• The role of temporal feature extraction and bagging of MLP neural networks for solving the WCCI 2008 Ford Classification ChallengePaulo J. L. Adeodato, Adrian L. Arnaud, Germano C. Vasconcelos, Rodrigo C. L. V. Cunha, Tarcísio B. Gurgel, Domingos S. M. P. Monteiro. 57-62 [doi]
• Batch linear manifold topographic map with regional dimensionality estimationPeyman Adibi, Reza Safabakhsh. 63-70 [doi]
• Introducing a training methodology for cellular neural networks solving partial differential equationsMohamad Javad Aein, Heidar A. Talebi. 71-75 [doi]
• High Order Neural Networks for wind speed time series predictionAlma Y. Alanis, Luis J. Ricalde, Edgar N. Sanchez. 76-80 [doi]
• Automated classification of dopaminergic neurons in the rodent brainAzadeh Alavi, Brenton Cavanagh, Gervase Tuxworth, Adrian Meedeniya, Alan Mackay-Sim, Michael Blumenstein. 81-88 [doi]
• Benchmarking reservoir computing on time-independent classification tasksLuís A. Alexandre, Mark J. Embrechts, Jamathan Linton. 89-93 [doi]
• Hybrid intelligent immune system using Radial Basis Function applied to Time Series AnalysisJose Lima Alexandrino, Cleber Zanchettin, Edson Costa de Barros Carvalho Filho. 94-101 [doi]
• Hybrid intelligent system clonart applied to face recognitionJose Lima Alexandrino, George D. C. Cavalcanti, Edson Costa de Barros Carvalho Filho. 102-107 [doi]
• Stability analysis of Takagi-Sugeno fuzzy Hopfield neural networks with discrete and distributed time varying delaysMuhamed Syed Ali, Pagavathigounder Balasubramaniam. 108-113 [doi]
• Just in time classifiers: Managing the slow drift caseCesare Alippi, Giacomo Boracchi, Manuel Roveri. 114-120 [doi]
• Improved security of neural cryptography using don t-trust-my-partner and error predictionAhmed M. Allam, Hazem M. Abbas. 121-127 [doi]
• Data Clustering Using a Modified Kuwahara FilterHasan Al-Marzouqi. 128-132 [doi]
• Tree Architecture Pattern Distributor: a task decomposition classification approachVictor M. O. Alves, George D. C. Cavalcanti. 133-140 [doi]
• A regularized formulation for spectral clustering with pairwise constraintsCarlos Alzate, Johan A. K. Suykens. 141-148 [doi]
• Financial time series prediction using exogenous series and combined neural networksManoel C. Amorim Neto, George D. C. Cavalcanti, Ing Ren Tsang. 149-156 [doi]
• Fuzzy ARTMAP rule extraction in computational chemistryRazvan Andonie, Levente Fabry-Asztalos, Bogdan Crivat, Sarah Abdul-Wahid, Badi Abdul-Wahid. 157-163 [doi]
• A binary Self-Organizing Map and its FPGA implementationKofi Appiah, Andrew Hunter, Hongying Meng, Shigang Yue, Mervyn Hobden, Nigel Priestley, Peter Hobden, Cy Pettit. 164-171 [doi]
• Application of wavelet and neural network models for wind speed and power generation forecasting in a Brazilian experimental wind parkRonaldo R. B. de Aquino, Milde M. S. Lira, Josinaldo B. de Oliveira, Manoel A. Carvalho, Otoni Nóbrega Neto, Givanildo J. de Almeida. 172-178 [doi]
• Combining Artificial Neural Network for diagnosing polluted insulatorsRonaldo R. B. de Aquino, Jose M. B. Bezerra, Milde M. S. Lira, Gabriela S. M. Santos, Otoni Nóbrega Neto, Carlos Alberto B. de O. Lira. 179-183 [doi]
• From Mirror Neurons to Computational NeurolinguisticsMichael A. Arbib. 184-190 [doi]
• Emergence of perceptual states in nonlinear lattices: A new computational model for perceptionPaolo Arena, Sebastiano De Fiore, Davide Lombardo, Luca Patané. 191-198 [doi]
• Online Levenberg-Marquardt algorithm for neural network based estimation and control of power systemsJavad Arif, Nilanjan Ray Chaudhuri, Swakshar Ray, Balarko Chaudhuri. 199-206 [doi]
• Unsupervised cluster analysis and mortality risk in the Digitalis Investigation Group (DIG) trial of heart failureSameer Ather, Leif E. Peterson, Vijay Divakaran, Anita Deswal, B. Bozkurt, Douglas L. Mann. 207-212 [doi]
• Patient stratification with competing risks by multivariate Fisher distanceDavide Bacciu, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa. 213-220 [doi]
• Nonlinear controller optimization of a power system based on reduced multivariate polynomial modelSeung-Mook Baek, Jung-Wook Park. 221-228 [doi]
• Predicting final extent of ischemic infarction using an artificial neural network analysis of multiparametric MRI in patients with strokeHasan Bagher-Ebadian, Kourosh Jafari-Khouzani, Panayiotis D. Mitsias, Hamid Soltanian-Zadeh, Michael Chopp, James R. Ewing. 229-235 [doi]
• Rapid and direct quantification of longitudinal relaxation time (T1) in look-locker sequences using an adaptive neural networkHasan Bagher-Ebadian, Ramesh Paudyal, Tom Mikkelsen, Quan Jiang, James R. Ewing. 236-240 [doi]
• Coordinated multiple ramps metering based on neuro-fuzzy adaptive dynamic programmingXuerui Bai, Dongbin Zhao, Jianqiang Yi. 241-248 [doi]
• BISAR: Boosted input selection algorithm for regressionKevin Bailly, Maurice Milgram. 249-255 [doi]
• Sparse kernel feature analysis using FastMap and its variantsTao Ban, Youki Kadobayashi, Shigeo Abe. 256-263 [doi]
• Learning the neuron functions within a neural network via Genetic Programming: Applications to geophysics and hydrogeologyAlan J. Barton, Julio J. Valdés, Robert Orchard. 264-271 [doi]
• Investigating the properties of optimal sensory and motor synergies in a nonlinear model of arm dynamicsHamidreza Bayati, Shahabeddin Vahdat, Bijan Vosoughi Vahdat. 272-279 [doi]
• Growing mechanisms and cluster identification with TurSOMDerek Beaton, Iren Valova, Daniel MacLean. 280-287 [doi]
• TurSOM: A Turing inspired Self-Organizing MapDerek Beaton, Iren Valova, Daniel MacLean. 288-295 [doi]
• Partitioning strategies for modular neural networksTimothy Bender, V. Scott Gordon, Michael Daniels. 296-301 [doi]
• On the selection of decision trees in Random ForestsSimon Bernard, Laurent Heutte, Sébastien Adam. 302-307 [doi]
• A minimum interconnection direct storage model of a neural bidirectional memoryAbdul Aziz Bhatti. 308-315 [doi]
• A model of an intraconnected neural parallel bidirectional memoryAbdul Aziz Bhatti. 316-323 [doi]
• Comparison of an efficient direct storage BAM model with traditional neural bidirectional memoriesAbdul Aziz Bhatti. 324-331 [doi]
• Global optimization, Meta Clustering and consensus clustering for class predictionIda Bifulco, Carmine Fedullo, Francesco Napolitano, Giancarlo Raiconi, Roberto Tagliaferri. 332-339 [doi]
• Partial logistic artificial neural networks (PLANN) for flexible modeling of censored survival dataElia Biganzoli, Federico Ambrogi, Patrizia Boracchi. 340-346 [doi]
• Assessment of fetal reactivity biopatterns during labour by fetal ECG analysisSodia Blad, David Larsson, Nick Outram, Karl G. Rosen. 347-352 [doi]
• Training of recurrent Internal Symmetry Networks by backpropagationAlan Blair, Guanzhong Li. 353-358 [doi]
• A combination of discretization and filter methods for improving classification performance in KDD Cup 99 datasetVerónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos. 359-366 [doi]
• Partial synchronization of neural activity and information processingRoman Borisyuk, David Chik, Yakov B. Kazanovich. 367-374 [doi]
• Neuron mechanism of human languagesAlexander Borzenko. 375-382 [doi]
• Chaotic phase synchronization for visual selectionFabricio A. Breve, Liang Zhao, Marcos G. Quiles, Elbert E. N. Macau. 383-390 [doi]
• Snap-drift neural network for selecting student feedbackDominic Palmer-Brown, Chrisina Draganova, Sin Wee Lee. 391-398 [doi]
• A neural model of visually-guided navigation in a cluttered worldN. Andrew Browning, Stephen Grossberg, Ennio Mingolla. 399-400 [doi]
• Computational implications of microcircuit specializations in forebrain circuits for motivated action selectionDaniel Bullock, Can Ozan Tan. 401-407 [doi]
• Temporal coding: Competition for coherence and new perspectives on assembly formationThomas Burwick. 408-417 [doi]
• SVM+ regression and multi-task learningFeng Cai, Vladimir Cherkassky. 418-424 [doi]
• SOMSO: A self-organizing map approach for spatial outlier detection with multiple attributesQiao Cai, Haibo He, Hong Man. 425-431 [doi]
• Dimensionality reduction by self organizing maps that preserve distances in output spacePascual Campoy. 432-438 [doi]
• A novel portfolio optimization method for foreign currency investmentYuan Cao, Haibo He, Rajarathnam Chandramouli. 439-445 [doi]
• DensityRank: A novel feature ranking method based on kernel estimationYuan Cao, Haibo He, Xiaoping Shen. 446-453 [doi]
• Large-scale neural systems for vision and cognitionGail A. Carpenter. 454-459 [doi]
• Neuronal network identification of a wastewater treatment prototypeRocio Carrasco, Edgar N. Sanchez, Catherine Cadet. 460-466 [doi]
• Learning Bayesian networks to perform feature selectionPablo A. D. Castro, Fernando J. Von Zuben. 467-473 [doi]
• Simplified SOM-neural model for video segmentation of moving objectsMario Ignacio Chacon Murguia, Gonzalez D. Sergio, Javier Vega-Pineda. 474-480 [doi]
• An MLP-based face authentication technique robust to orientationGoutam Chakraborty, Basabi Chakraborty, Jagdish Chandra Patra, Chotipat Pornavalai. 481-488 [doi]
• A regression model with a hidden logistic process for feature extraction from time seriesFaicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin. 489-496 [doi]
• Combination of generative models and SVM based classifier for speech emotion recognitionShanmuganathan Chandrakala, Chellu Chandra Sekhar. 497-502 [doi]
• Bidirectional Associative Memories, Self-Organizing Maps and k-Winners-Take-All: Uniting feature extraction and topological principlesSylvain Chartier, Gyslain Giguère, Dominic Langlois, Rana Sioufi. 503-510 [doi]
• Rain rate retrieval by processing the observations of the 85V and 85H GHz channels of the SSM/I and TMI passive microwave sensorsMiguel Perez Chavariar, Carlos Mejia, Cecile Mallet, Michel Crépon, Fouad Badran, Sylvie Thiria. 511-517 [doi]
• Nonlinear predictive control for oxygen supply of a fuel cell systemQihong Chen, Shuhai Quan, Changjun Xie. 518-521 [doi]
• SERA: Selectively recursive approach towards nonstationary imbalanced stream data miningSheng Chen, Haibo He. 522-529 [doi]
• SNAC convergence and use in adaptive autopilot designSongjie Chen, Yang Yang, Sivasubramanya N. Balakrishnan, Nhan T. Nguyen, Kalmanje KrishnaKumar. 530-537 [doi]
• Solving convex optimization problems using recurrent neural networks in finite timeLong Cheng, Zeng-Guang Hou, Noriyasu Homma, Min Tan, Madan M. Gupta. 538-543 [doi]
• Predictive learning with sparse heterogeneous dataVladimir Cherkassky, Feng Cai, Lichen Liang. 544-551 [doi]
• The multi-phase method in fast learning algorithmsChi-Chung Cheung, Sin Chun Ng. 552-559 [doi]
• A behavioral study of learning in standard SOM and in S-SOMSoukeina Ben Chikha, Kirmene Marzouki. 560-565 [doi]
• Nonlinear dimension reduction using ISOMap based on class informationMinkook Cho, Hyeyoung Park. 566-570 [doi]
• Evolution of recollection and prediction in neural networksJi Ryang Chung, Jaerock Kwon, Yoonsuck Choe. 571-577 [doi]
• Learning nonlinear functions with MLPs and SRNsRyan Cleaver, Ganesh K. Venayagamoorthy. 578-585 [doi]
• Non-negative matrix factorization Vs. FastICA on mismatch negativity of childrenFengyu Cong, Zhilin Zhang, Igor Kalyakin, Tiina Huttunen-Scott, Heikki Lyytinen, Tapani Ristaniemi. 586-590 [doi]
• Stable fourier neural networks with application to modeling lettuce growthJuan Jose Cordova, Wen Yu. 591-596 [doi]
• Recognition and classification of P300s in EEG signals by means of feature extraction using wavelet decompositionSathya Costagliola, Bernardo Dal Seno, Matteo Matteucci. 597-603 [doi]
• Using input-space bisection and backpropagation as a method to emulate complex numerical simulations for design decision makingMark A. Cowan, Cary D. Butler. 604-611 [doi]
• Information theoretical algorithm based on statistical models for blind identification of nonstationary dynamical systemsPaolo Crippa, Francesco Gianfelici, Claudio Turchetti. 612-618 [doi]
• Input-variable specification for Neural Networks - An analysis of forecasting low and high time series frequencySven F. Crone, Nikolaos Kourentzes. 619-626 [doi]
• Synthesis of crossed dipole frequency selective surfaces using genetic algorithms and artificial neural networksRossana M. S. Cruz, Paulo H. da F. Silva, Adailo G. D Assuncao. 627-633 [doi]
• Harmonic identification using an Echo State Network for adaptive control of an active filter in an electric shipJing Dai, Ganesh K. Venayagamoorthy, Ronald G. Harley. 634-640 [doi]
• Extracting activated regions of fMRI data using unsupervised learningHeydar Davoudi, Ali Taalimi, Emad Fatemizadeh. 641-645 [doi]
• Circuit implementation of SVM trainingSergio Decherchi, Paolo Gastaldo, Mauro Parodi, Rodolfo Zunino. 646-651 [doi]
• Maximal-discrepancy bounds for regularized classifiersSergio Decherchi, Paolo Gastaldo, Judith Redi, Rodolfo Zunino. 652-656 [doi]
• Constructing clinical scoring systems to determine the need for an oral glucose tolerance testJames M. DeLeo, Carl Leonard, Anne E. Sumner. 657-662 [doi]
• Context dependent pattern recognition - A framework for hybrid architectures bridging chaotic neural networks based on Recursive Processing Elements and symbolic informationEmílio Del Moral Hernandez, Humberto Sandmann, Gleison Araujo. 663-670 [doi]
• A new nonlinear filter design for the detection of phase transitions in ECoG dataRustu Murat Demirer, Robert Kozma, Mert Çaglar, Yasar Polatoglu. 671-676 [doi]
• Vision based Injector Spray pattern Testing systemPriyanka Desai, Sreela Sasi, Manoj Kumar Prabhakaran. 677-682 [doi]
• Neural synchrony and selective attentionRobert Desimone. 683-684 [doi]
• A constrained backpropagation approach to solving Partial Differential Equations in non-stationary environmentsGianluca Di Muro, Silvia Ferrari. 685-689 [doi]
• Feedforward artificial neural network to estimate iq of mental retarded people from different psychometric instrumentsAlessandro G. Di Nuovo, Santo Di Nuovo, Serafino Buono, Vincenzo Catania. 690-696 [doi]
• Hand movement recognition for Brazilian Sign Language: A study using distance-based neural networksDaniel B. Dias, Renata C. B. Madeo, Thiago Rocha, Helton Hideraldo Bíscaro, Sarajane Marques Peres. 697-704 [doi]
• Music recommendation and query-by-content using Self-Organizing MapsKyle B. Dickerson, Dan Ventura. 705-710 [doi]
• Adaptive dynamic programming-based optimal control of unknown affine nonlinear discrete-time systemsTravis Dierks, Balaje T. Thumati, Sarangapani Jagannathan. 711-716 [doi]
• Representation and feature selection using multiple kernel learningA. D. Dileep, Chellu Chandra Sekhar. 717-722 [doi]
• A conceptual neural model of idea generationSimona Doboli, Vincent R. Brown, Ali A. Minai. 723-729 [doi]
• GPU-based simulation of cellular neural networks for image processingRyanne Dolan, Guilherme N. DeSouza. 730-735 [doi]
• A kernel hat matrix based rejection criterion for outlier removal in support vector regressionFranck Dufrenois, Jean-Charles Noyer. 736-743 [doi]
• A simple design and implementation of reconfigurable neural networksHazem M. El-Bakry, Nikos E. Mastorakis. 744-750 [doi]
• Fast principal component analysis for face detection using cross-correlation and image decompositionHazem M. El-Bakry, Mohamed Hamada. 751-756 [doi]
• Fast record detection in large databases using new high speed time delay neural networksHazem M. El-Bakry. 757-763 [doi]
• Estimation of classification complexityDavid A. Elizondo, Ralph Birkenhead, Matías Gámez, Noelia García Rubio, Esteban Alfaro Cortés. 764-770 [doi]
• Incremental learning in nonstationary environments with controlled forgettingRyan Elwell, Robi Polikar. 771-778 [doi]
• Local properties of RBF-SVM during training for incremental learningWael Emara, Mehmed M. Kantardzic. 779-786 [doi]
• Lessons from complex systems modeling: Crisis, innovation, decision makingPéter Érdi. 787-788 [doi]
• A robust nonlinear projection method using the neural gas networkPablo A. Estévez, Andrés M. Chong. 789-796 [doi]
• Online temporal pattern learningNastaran Farahmand, Mir Hossein Dezfoulian, Hossein GhiasiRad, Alireza Mokhtari, Ali Nouri. 797-802 [doi]
• A receptive field based approach for face detectionBruno J. T. Fernandes, George D. C. Cavalcanti, Ing Ren Tsang. 803-810 [doi]
• Genetic algorithm for reservoir computing optimizationAida A. Ferreira, Teresa Bernarda Ludermir. 811-815 [doi]
• Random subspaces of the instance and principal component spaces for ensemblesEdnaldo J. Ferreira, Alexandre C. B. Delbem, Roseli Romero, Osvaldo N. Oliveira. 816-819 [doi]
• Learning averages over the lie group of symmetric positive-definite matricesSimone Fiori, Toshihisa Tanaka. 828-832 [doi]
• Learning averages over the lie group of unitary matricesSimone Fiori. 833-837 [doi]
• Training of radial basis function classifiers with resilient propagation and variational Bayesian inferenceDominik Fisch, Bernhard Sick. 838-847 [doi]
• A neural networks algorithm for inferring drug gene regulatory networks from microarray time-series with missing transcription factors informationAlexandru G. Floares. 848-854 [doi]
• Intelligent clinical decision supports for interferon treatment in chronic hepatitis C and B based on i-biopsy:::TM:::Alexandru G. Floares. 855-860 [doi]
• Effects of learning rate on the performance of the population based incremental learning algorithmKomla A. Folly, Ganesh K. Venayagamoorthy. 861-868 [doi]
• A cross-situational algorithm for learning a lexicon using Neural modeling fieldsJosé F. Fontanari, Vadim Tikhanoff, Angelo Cangelosi, Leonid I. Perlovsky. 869-876 [doi]
• Orientational features with the SNT-gridAlejandro Foullon-Perez, Simon M. Lucas. 877-881 [doi]
• Cortical mechanisms of memory formation and readoutWalter J. Freeman. 882-889 [doi]
• Scalable statistical learning: A modular bayesian/markov network approachAntonino Freno, Edmondo Trentin, Marco Gori. 890-897 [doi]
• Tree structures with attentive objects for image classification using a neural networkHong Fu, Shuya Zhang, Zheru Chi, David Dagan Feng, Xiaoyu Zhao. 898-902 [doi]
• LS-SVM based neural controller as optimized by particle swarm algorithm using dual heuristic dynamic programmingSi-Yao Fu, Guo-Sheng Yang, Zeng-Guang Hou. 903-908 [doi]
• Neural numerical modeling for uncertain distributed parameter systemsRita Fuentes, Alexander S. Poznyak, Isaac Chairez, Tatyana Poznyak. 909-916 [doi]
• Robust identification of uncertain nonlinear systems with state constrains by Differential Neural NetworksAlejandro Garcia, Isaac Chairez, Alexander S. Poznyak, Tatyana Poznyak. 917-924 [doi]
• Discrete-time decentralized neural block controller for a five DOF robot manipulatorRamon Garcia-Hernandez, Edgar N. Sanchez, Maarouf Saad, Eduardo Bayro-Corrochano. 925-931 [doi]
• Bounded-time system identification under neuro-sliding trainingRodolfo García-Rodríguez, Pablo Zegers, Vicente Parra-Vega. 932-937 [doi]
• Design of artificial neural networks using a modified Particle Swarm Optimization algorithmBeatriz Aurora Garro Licon, Juan Humberto Sossa Azuela, Roberto Antonio Vázquez. 938-945 [doi]
• Neural networks for fitting PES data distributions of asphaltene interactionEduardo Gasca, Juan H. Pacheco, Fernando Alvarez. 946-952 [doi]
• Improving management of Anemia in End Stage Renal Disease using Reinforcement LearningAdam E. Gaweda. 953-958 [doi]
• Detection of articulation disorders using Empirical Mode Decomposition and neural networksGeorge Georgoulas, Voula C. Georgopoulos, George Stylios, Chrysostomos D. Stylios. 959-964 [doi]
• A recurrent neural model for parameter estimation of mixed emotions from facial expressions of the subjectsMadhumala Ghosh, Aruna Chakraborty, Ayan Acharya, Amit Konar, B. K. Panigrahi. 965-972 [doi]
• Using weak supervision in learning Gaussian mixture modelsSoumya Ghosh, Soundararajan Srinivasan, Burton Andrews. 973-979 [doi]
• Neural networks with asymmetric activation function for function approximationGecynalda S. da S. Gomes, Teresa Bernarda Ludermir, Leandro M. Almeida. 980-987 [doi]
• Visualization tool for a Self-Splitting modular Neural NetworkV. Scott Gordon, Michael Daniels, James Boheman, Marcus Watstein, Derek Goering, B. Urban. 988-993 [doi]
• Learning Vector Quantization with adaptive prototype addition and removalMihajlo Grbovic, Slobodan Vucetic. 994-1001 [doi]
• View-invariant object category learning, attention, recognition, search, and scene understandingStephen Grossberg. 1002-1004 [doi]
• From variable weighting to cluster characterization in topographic unsupervised learningNistor Grozavu, Younès Bennani, Mustapha Lebbah. 1005-1010 [doi]
• Facial expression recognition based on Liquid State Machines built of alternative neuron modelsBeata Grzyb, Eris Chinellato, Grzegorz M. Wojcik, Wieslaw A. Kaminski. 1011-1017 [doi]
• Which model to use for the Liquid State Machine?Beata Grzyb, Eris Chinellato, Grzegorz M. Wojcik, Wieslaw A. Kaminski. 1018-1024 [doi]
• Finding sensors for homeostasis of biological neuronal networks using artificial neural networksCengiz Günay, Astrid A. Prinz. 1025-1032 [doi]
• Application of PSO and MPSO in project scheduling of the first mining face in coal miningHaixiang Guo, Lanlan Li, Kejun Zhu, Chang Ding. 1033-1040 [doi]
• Temporal competitive learning induced in neural networks by spike timing-dependent plasticityWei Guo, Liqing Zhang. 1041-1046 [doi]
• Detecting load conditions in human walking using expectation maximization and neural networksAnkur Gupta. 1047-1053 [doi]
• Hebbian learning with winner take all for spiking neural networksAnkur Gupta, Lyle N. Long. 1054-1060 [doi]
• Power System Stability enhancement by Single Network Adaptive Critic StabilizersGurunath Gurrala, Radhakant Padhi, Indraneel Sen. 1061-1066 [doi]
• MultiLogistic Regression using Initial and Radial Basis Function covariatesPedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Juan Carlos Fernández. 1067-1074 [doi]
• Fast and accurate retinal vasculature tracing and kernel-Isomap-based feature selectionDonghyeop Han, Heeyoul Choi, Choonseog Park, Yoonsuck Choe. 1075-1082 [doi]
• An Adaptive dynamic evolution feedforward neural network on modified particle swarm optimizationMin Han, Jianchao Fan, Bing Han. 1083-1089 [doi]
• Nonlinear time series online prediction using reservoir kalman filterMin Han, Yanan Wang. 1090-1094 [doi]
• Similarity-based image retrieval considering artifacts by self-organizing map with refractorinessDaichi Hanagaki, Yuko Osana. 1095-1100 [doi]
• Prerequisites for integrating unsupervised and reinforcement learning in a single network of spiking neuronsSebastian Handrich, Andreas Herzog, Andreas Wolf, Christoph S. Herrmann. 1101-1106 [doi]
• Community self-organizing map and its application to data extractionTaku Haraguchi, Haruna Matsushita, Yoshifumi Nishio. 1107-1114 [doi]
• Speed control of a mobile robot using neural networks and fuzzy logicMoufid Harb, Rami S. Abielmona, Emil M. Petriu. 1115-1121 [doi]
• Families of orthonormalization algorithmsMohammed A. Hasan. 1122-1127 [doi]
• On multi-set canonical correlation analysisMohammed A. Hasan. 1128-1133 [doi]
• Bifurcation analysis of a reconfigurable hybrid spiking neuron and its novel online learning algorithmSho Hashimoto, Hiroyuki Torikai. 1134-1141 [doi]
• A binary classification and online visionHassab Elgawi Osman. 1142-1148 [doi]
• Using continuous action spaces to solve discrete problemsHado van Hasselt, Marco A. Wiering. 1149-1156 [doi]
• Performance of STLF model from the PSO, time series and regression perspectivesS. Riaz ul Hassnain, Azzam ul Asar, Farah Mahmood. 1157-1162 [doi]
• A Cellular Neural Network as a Principal Component AnalyzerChao-Hui Haung, Wee Kheng Leow, Daniel Racoceanu. 1163-1170 [doi]
• Model reduction of neural network trees based on dimensionality reductionHirotomo Hayashi, Qiangfu Zhao. 1171-1176 [doi]
• A linguistic CMAC equivalent to a Linguistic Decision Tree for classificationHongmei He, Jonathan Lawry. 1177-1183 [doi]
• Temporal semantics: An extended definition for neural morphismsMichael J. Healy, Thomas P. Caudell. 1184-1191 [doi]
• A neurocomputational model of automaticity and maintenance of abstract rulesSébastien Hélie, F. Gregory Ashby. 1192-1198 [doi]
• Simulating incubation effects using the Explicit Implicit Interaction with Bayes Factor (EII-BF) modelSébastien Hélie, Ron Sun. 1199-1205 [doi]
• Learning the number of gaussian components using hypothesis testGyeongyong Heo, Paul D. Gader. 1206-1212 [doi]
• Robust kernel PCA using fuzzy membershipGyeongyong Heo, Paul D. Gader, Hichem Frigui. 1213-1220 [doi]
• The Multiple Pairs SMO: A modified SMO algorithm for the acceleration of the SVM trainingRaul Acosta Hernandez, Marius Strum, Wang Jiang Chau, Jose Artur Quilici Gonzalez. 1221-1228 [doi]
• A model of cooperative agent based on imitation and Maslow's Pyramid of needsHerve Le Guen, Sorin Moga. 1229-1236 [doi]
• Complex-valued neural networks: The merits and their originsAkira Hirose. 1237-1244 [doi]
• A novel pruning algorithm for self-organizing neural networkHonggui Han, Junfei Qiao. 1245-1250 [doi]
• A motor learning neural model based on Bayesian network and reinforcement learningHaruo Hosoya. 1251-1258 [doi]
• Data classification with a generalized Gaussian components based density estimation algorithmChih-Hung Hsieh, Darby Tien-Hao Chang, Yen-Jen Oyang. 1259-1266 [doi]
• Automatic identification of useful independent components with a view to removing artifacts from eeg signalHwa-Shan Huang, Nikhil R. Pal, Li-Wei Ko, Chin-Teng Lin. 1267-1271 [doi]
• Supervised Self-taught Learning: Actively transferring knowledge from unlabeled dataKaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell. 1272-1277 [doi]
• Simulated annealing for pattern detection and seismic analysisKou-Jen Huang, Kou-Yuan Huang, Luke K. Wang, Ying-Liang Chou, Yueh-Hsun Hsieh, Shan-Chih Hsieh. 1278-1285 [doi]
• An intelligent multi-feature statistical approach for discrimination of driving conditions of hybrid electric vehicleXi Huang, Ying Tan, Xingui He. 1286-1293 [doi]
• Slow Feature Discriminant Analysis and its application on handwritten digit recognitionYaping Huang, Jiali Zhao, Mei Tian, Qi Zou, Siwei Luo. 1294-1297 [doi]
• Extraction of distance information from the activity of entorhinal grid cells: a model studyZsófia Huhn, Zoltán Somogyvári, Tamás Kiss, Péter Érdi. 1298-1303 [doi]
• Centroid neural network for face recognitionVu Thi Lan Huong, Dong-Chul Park, Yunsik Lee. 1304-1309 [doi]
• Centroid neural network with Chi square distance measure for texture classificationVu Thi Lan Huong, Dong-Chul Park, Dong-Min Woo, Yunsik Lee. 1310-1315 [doi]
• Improving rule extraction from neural networks by modifying hidden layer representationsThuan Q. Huynh, James A. Reggia. 1316-1321 [doi]
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