Journal: Neural Computing and Applications

Volume 16, Issue 6

503 -- 504Chi-Sing Leung, Frank H. Leung. Editorial for ICONIP 2006
505 -- 512Long Cheng, Zeng-Guang Hou, Min Tan. Constrained multi-variable generalized predictive control using a dual neural network
513 -- 517Mingxiang Huang, Jianhua Gong, Zhou Shi, Chunbo Liu, Lihui Zhang. Genetic algorithm-based decision tree classifier for remote sensing mapping with SPOT-5 data in the HongShiMao watershed of the loess plateau, China
519 -- 526Takayuki Kimura, Tohru Ikeguchi. A new algorithm for packet routing problems using chaotic neurodynamics and its surrogate analysis
527 -- 539Shaoning Pang, Ilkka Havukkala, Yingjie Hu, Nikola Kasabov. Classification consistency analysis for bootstrapping gene selection
541 -- 549Juan Zhou, Jagath C. Rajapakse. Modeling hemodynamic variability with fuzzy features for detecting brain activation from fMR time-series
551 -- 557Arun Kumar, Jagath C. Rajapakse. Power spectral based detection of brain activation from fMR images
559 -- 569W. L. Tung, C. Quek. A brain-inspired fuzzy semantic memory model for learning and reasoning with uncertainty
571 -- 580M. Aziz Muslim, Masumi Ishikawa, Tetsuo Furukawa. Task segmentation in a mobile robot by mnSOM: a new approach to training expert modules
581 -- 587Cheng Peng, Xiang Qian, Datian Ye. Electrogastrogram extraction using independent component analysis with references

Volume 16, Issue 4-5

317 -- 325Douglas A. G. Vieira, João A. Vasconcelos, Walmir M. Caminhas. Controlling the parallel layer perceptron complexity using a multiobjective learning algorithm
327 -- 339Janet Rothwell, Zuhair Bandar, James O Shea, David McLean. Charting the behavioural state of a person using a backpropagation neural network
341 -- 353Iren Valova, Oxana Lapteva, Natacha Gueorguieva. Modeling of neurotransmitter effects in olfactory bulb
355 -- 372Iren Valova, Natacha Gueorguieva, Frank Troescher, Oxana Lapteva. Modeling of inhibition/excitation firing in olfactory bulb through spiking neurons
373 -- 381C. Fernández, Emilio Soria-Olivas, P. Sánchez-Seiquer, Luis Gómez-Chova, R. Magdalena, José David Martín-Guerrero, M. J. Navarro, Antonio J. Serrano-López. Weekly milk prediction on dairy goats using neural networks
383 -- 393Ali Gholipour, Caro Lucas, Babak Nadjar Araabi, Masoud Mirmomeni, Masoud Shafiee. Extracting the main patterns of natural time series for long-term neurofuzzy prediction
395 -- 405D. Huang, Tommy W. S. Chow. Improving the effectiveness of RBF classifier based on a hybrid cost function
407 -- 417Saurabh Garg, Surjya K. Pal, Debabrata Chakraborty. Evaluation of the performance of backpropagation and radial basis function neural networks in predicting the drill flank wear
419 -- 431K. F. Leung, F. H. Frank Leung, H. K. Lam, S. H. Ling. Application of a modified neural fuzzy network and an improved genetic algorithm to speech recognition
433 -- 441Seda Postalcioglu, Yasar Becerikli. Wavelet networks for nonlinear system modeling
443 -- 452Dongwon Kim, Gwi-Tae Park. Advanced self-organizing polynomial neural network
453 -- 463Marjan Korosec. Technological information extraction of free form surfaces using neural networks
465 -- 470Otávio Augusto S. Carpinteiro, Isaías Lima, Rafael C. Leme, Antonio C. Zambroni de Souza, Edmilson M. Moreira, Carlos A. M. Pinheiro. A hierarchical neural model with time windows in long-term electrical load forecasting
471 -- 479Arturo J. Méndez, Emilio García Roselló, María J. Lado, Jacinto Gonzalez Dacosta, Manuel Pérez Cota. Integrating Matlab Neural Networks Toolbox functionality in a fully reusable software component library
481 -- 490Yong Shi, Xinyang Zhang, Jia Wan, Yong Wang, Wei Yin, Zhiwei Cao, Yajun Guo. Predicting the distance between antibody s interface residue and antigen to recognize antigen types by support vector machine
491 -- 502Prasun Das, Subhasis Chaudhury. Prediction of retail sales of footwear using feedforward and recurrent neural networks

Volume 16, Issue 3

207 -- 208Nadia Nedjah, Ajith Abraham, Luiza de Macedo Mourelle. Hybrid artificial neural network
209 -- 226John A. Bullinaria. Using evolution to improve neural network learning: pitfalls and solutions
227 -- 234Bernardo Penna Resende de Carvalho, Wilian Soares Lacerda, Antônio de Pádua Braga. RRS + LS-SVM: a new strategy for a priori sample selection
235 -- 247Krzysztof Socha, Christian Blum. An ant colony optimization algorithm for continuous optimization: application to feed-forward neural network training
249 -- 255Nadia Nedjah, Luiza de Macedo Mourelle. Reconfigurable hardware for neural networks: binary versus stochastic
257 -- 265Maria do Carmo Nicoletti, Lucas Baggio Figueira, Estevam R. Hruschka Jr.. Transferring neural network based knowledge into an exemplar-based learner
267 -- 293Abdelhamid Bouchachia. Learning with partly labeled data
295 -- 306Kihoon Yoon, Stephen Kwek. A data reduction approach for resolving the imbalanced data issue in functional genomics
307 -- 316Ajith Abraham, Crina Grosan, Stefan Tigan. Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs

Volume 16, Issue 2

101 -- 108Nand Kishor, S. P. Singh. Nonlinear predictive control for a NNARX hydro plant model
109 -- 124S. Gaerth Pierce, Keith Worden, Graeme Manson. Evaluation of neural network performance and generalisation using thresholding functions
125 -- 137Bernhard Sick, Seppo J. Ovaska. Fusion of soft and hard computing: multi-dimensional categorization of computationally intelligent hybrid systems
139 -- 145Erhan Kenan Çeven, Sezai Tokat, Özcan Özdemir. Prediction of chenille yarn and fabric abrasion resistance using radial basis function neural network models
147 -- 154Ángel García-Crespo, Belén Ruíz-Mezcua, D. Fernández-Fdz, R. Zaera. Prediction of the response under impact of steel armours using a multilayer perceptron
155 -- 166Chandimal Jayawardena, Keigo Watanabe, Kiyotaka Izumi. Controlling a robot manipulator with fuzzy voice commands using a probabilistic neural network
167 -- 172Hongyi Peng, Siming Zhu. Handling of incomplete data sets using ICA and SOM in data mining
173 -- 186Richard Labib, Reza Assadi. Modified multi-layered perceptron applied to packing and covering problems
187 -- 195Antanas Verikas, Marija Bacauskiene, Carl Magnus Nilsson. Estimating the amount of cyan, magenta, yellow, and black inks in arbitrary colour pictures
197 -- 206B. Ye, C. Z. Zhu, Y. J. Cao. Adaptive extended fuzzy basis function network

Volume 16, Issue 1

1 -- 10Trevor C. Bailey, Richard M. Everson, Jonathan E. Fieldsend, Wojtek J. Krzanowski, Derek Partridge, Vitaly Schetinin. Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases
11 -- 19Zeshan Kurd, Tim Kelly, Jim Austin. Developing artificial neural networks for safety critical systems
21 -- 25Ali G. Hessami. Safety management of complex technology
27 -- 32Paul Turner. Automated product grade transitions, exposing the inherent and latent dangers of neural networks in manufacturing process control: an industrial case study
33 -- 47Khamron Sunat, Chidchanok Lursinsap, Chee-Hung Henry Chu. The ::::p::::-recursive piecewise polynomial sigmoid generators and first-order algorithms for multilayer tanh-like neurons
49 -- 55T. Santhanam, C. P. Sumathi, K. S. Easwarakumar. Fingerprint minutiae filtering using ARTMAP
57 -- 68Xun Liang. Removal of hidden neurons in multilayer perceptrons by orthogonal projection and weight crosswise propagation
69 -- 79Raimondo Schettini, Silvia Zuffi. A computational strategy exploiting genetic algorithms to recover color surface reflectance functions
81 -- 89Bertil Thomas, Mohsen Soleimani-Mohseni. Artificial neural network models for indoor temperature prediction: investigations in two buildings
91 -- 100D. L. Yu, D. W. Yu. A new structure adaptation algorithm for RBF networks and its application