Neural Networks, Volume 21

Volume 21, Number 1, January 2008

• Kenji Doya, Stephen Grossberg, John G. Taylor:
  Neural Networks goes electronic at twenty! 1-2
  
• Tadahiro Taniguchi, Tetsuo Sawaragi:
  Incremental acquisition of multiple nonlinear forward models based on differentiation process of schema model. 13-27
  
• L. Sivridis, Athanasia Kotini, Photios A. Anninos:
  The process of learning in neural net models with Poisson and Gauss connectivities. 28-35
  

• Nikolay Y. Nikolaev, Lilian M. de Menezes:
  Sequential Bayesian kernel modelling with non-Gaussian noise. 36-47
  
• Katsuyuki Hagiwara, Kenji Fukumizu:
  Relation between weight size and degree of over-fitting in neural network regression. 48-58
  
• Krzysztof Patan:
  Approximation of state-space trajectories by locally recurrent globally feed-forward neural networks. 59-64
  

• Stephan Kirstein, Heiko Wersing, Edgar Körner:
  A biologically motivated visual memory architecture for online learning of objects. 65-77
  

• Joaquim F. Pinto da Costa, Hugo Alonso, Jaime S. Cardoso:
  The unimodal model for the classification of ordinal data. 78-91
  
• Holger Fröhlich, Andreas Hoenselaar, Jonas Eichner, Holger Rosenbrock, Gerald Birk, Andreas Zell:
  Automated classification of the behavior of rats in the forced swimming test with support vector machines. 92-101
  
• Shiwei Wang, D. L. Yu:
  Adaptive RBF network for parameter estimation and stable air-fuel ratio control. 102-112
  

Volume 21, Numbers 2-3, March-April 2008

• David G. Brown, Jennie Si, Ron Sun:
  Special Issue on Advances in Neural Networks Research: IJCNN'07. 113
  

• Guoguang He, Manish Dev Shrimali, Kazuyuki Aihara:
  Threshold control of chaotic neural network. 114-121
  
• Valentina Lanza, Fernando Corinto, Marco Gilli:
  On the study of cellular nonlinear networks via amplitude and phase dynamics. 122-129
  
• Gerardo Noriega:
  Modeling propagation delays in the development of SOMs - a parallel with abnormal brain growth in autism. 130-139
  
• Hiroyuki Torikai, Atsuo Funew, Toshimichi Saito:
  Digital spiking neuron and its learning for approximation of various spike-trains. 140-149
  
• Juyang Weng, Tianyu Luwang, Hong Lu, Xiangyang Xue:
  Multilayer in-place learning networks for modeling functional layers in the laminar cortex. 150-159
  
• Hujun Yin:
  On multidimensional scaling and the embedding of self-organising maps. 160-169
  

• Carlos Alzate, Johan A. K. Suykens:
  A regularized kernel CCA contrast function for ICA. 170-181
  
• Rui Chang, Wilfried Brauer, Martin Stetter:
  Modeling semantics of inconsistent qualitative knowledge for quantitative Bayesian network inference. 182-192
  
• Eiji Mizutani, Stuart E. Dreyfus:
  Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature. 193-203
  
• Vladimir Pestov:
  An axiomatic approach to intrinsic dimension of a dataset. 204-213
  
• Yiming Wu, Xiuwen Liu, Washington Mio:
  Learning representations for object classification using multi-stage optimal component analysis. 214-221
  
• Jian-Wu Xu, Hovagim Bakardjian, Andrzej Cichocki, Jose C. Principe:
  A new nonlinear similarity measure for multichannel signals. 222-231
  
• Zhirong Yang, Jorma Laaksonen:
  Principal whitened gradient for information geometry. 232-240
  

• Aydin Farajidavar, Sohrab Saeb, Khosrow Behbehani:
  Incorporating synaptic time-dependent plasticity and dynamic synapse into a computational model of wind-up. 241-249
  
• José F. Fontanari, Leonid I. Perlovsky:
  How language can help discrimination in the Neural Modelling Fields framework. 250-256
  
• Walter J. Freeman:
  A pseudo-equilibrium thermodynamic model of information processing in nonlinear brain dynamics. 257-265
  
• Nikola K. Kasabov, Vishal Jain, Lubica Benuskova:
  Integrating evolving brain-gene ontology and connectionist-based system for modeling and knowledge discovery. 266-275
  
• Randal A. Koene, Michael E. Hasselmo:
  Reversed and forward buffering of behavioral spike sequences enables retrospective and prospective retrieval in hippocampal regions CA3 and CA1. 276-288
  
• Toshihiko Matsuka, Yasuaki Sakamoto, Arieta Chouchourelou:
  Modeling a flexible representation machinery of human concept learning. 289-302
  
• Colin Molter, Yoko Yamaguchi:
  Impact of temporal coding of presynaptic entorhinal cortex grid cells on the formation of hippocampal place fields. 303-310
  
• Gualtiero Piccinini:
  Some neural networks compute, others don't. 311-321
  
• Adam Ponzi:
  Dynamical model of salience gated working memory, action selection and reinforcement based on basal ganglia and dopamine feedback. 322-330
  
• Kazuhiro Shimonomura, Takayuki Kushima, Tetsuya Yagi:
  Binocular robot vision emulating disparity computation in the primary visual cortex. 331-340
  
• Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud Kaplan:
  Improved mapping of information distribution across the cortical surface with the support vector machine. 341-348
  

• Hisashi Aomori, Tsuyoshi Otake, Nobuaki Takahashi, Mamoru Tanaka:
  Sigma-delta cellular neural network for 2D modulation. 349-357
  
• Sheng Chen, Andreas Wolfgang, Chris J. Harris, Lajos Hanzo:
  Adaptive nonlinear least bit error-rate detection for symmetrical RBF beamforming. 358-367
  
• Angelo Ciaramella, Sergio Cocozza, Francesco Iorio, Gennaro Miele, Francesco Napolitano, Michele Pinelli, Giancarlo Raiconi, Roberto Tagliaferri:
  Interactive data analysis and clustering of genomic data. 368-378
  
• Alexandru George Floares:
  A reverse engineering algorithm for neural networks, applied to the subthalamopallidal network of basal ganglia. 379-386
  
• Brandon D. Gallas, David G. Brown:
  Reader studies for validation of CAD systems. 387-397
  
• Javid J. Huseynov, Shankar B. Baliga, Alan Widmer, Zvi Boger:
  An adaptive method for industrial hydrocarbon flame detection. 398-405
  
• Qingshan Liu, Jun Wang:
  Two k-winners-take-all networks with discontinuous activation functions. 406-413
  
• Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Sylvie Chabaud, Thomas Bachelot, David Perol, Thérèse Gargi, Valérie Bourdès, Stéphane Bonnevay, Sylvie Négrier:
  Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer. 414-426
  
• Maciej A. Mazurowski, Piotr A. Habas, Jacek M. Zurada, Joseph Y. Lo, Jay A. Baker, Georgia D. Tourassi:
  Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance. 427-436
  
• Fabian Ojeda, Johan A. K. Suykens, Bart De Moor:
  Low rank updated LS-SVM classifiers for fast variable selection. 437-449
  
• Xiang Peng, Irwin King:
  Robust BMPM training based on second-order cone programming and its application in medical diagnosis. 450-457
  
• Danil V. Prokhorov:
  Toyota Prius HEV neurocontrol and diagnostics. 458-465
  
• Wei Qiao, Ganesh K. Venayagamoorthy, Ronald G. Harley:
  Optimal wide-area monitoring and nonlinear adaptive coordinating neurocontrol of a power system with wind power integration and multiple FACTS devices. 466-475
  
• Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski:
  Classifier performance estimation under the constraint of a finite sample size: Resampling schemes applied to neural network classifiers. 476-483
  
• Dipti Srinivasan, Vishal Sharma, Kar-Ann Toh:
  Reduced multivariate polynomial-based neural network for automated traffic incident detection. 484-492
  
• Bryan D. Thompson, Mahmood R. Azimi-Sadjadi:
  Iterative multi-channel coherence analysis with applications. 493-501
  
• Yu-Chiang Frank Wang, David Casasent:
  New support vector-based design method for binary hierarchical classifiers for multi-class classification problems. 502-510
  

• Benjamin Schrauwen, Michiel D'Haene, David Verstraeten, Jan M. Van Campenhout:
  Compact hardware liquid state machines on FPGA for real-time speech recognition. 511-523
  
• Jayawan H. B. Wijekoon, Piotr Dudek:
  Compact silicon neuron circuit with spiking and bursting behaviour. 524-534
  

• Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Hendrik L. Tolman, Alexei A. Belochitski:
  Neural network approach for robust and fast calculation of physical processes in numerical environmental models: Compound parameterization with a quality control of larger errors. 535-543
  

• Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley:
  Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge. 544-550
  

Volume 21, Number 4, May 2008

• Stefan Schaal, Yoshihiko Nakamura, Paolo Dario:
  Special issue on robotics and neuroscience. 551-552
  
• Jeffrey L. McKinstry, Anil K. Seth, Gerald M. Edelman, Jeffrey L. Krichmar:
  Embodied models of delayed neural responses: Spatiotemporal categorization and predictive motor control in brain based devices. 553-561
  
• Christian Faubel, Gregor Schöner:
  Learning to recognize objects on the fly: A neurally based dynamic field approach. 562-576
  
• Renaud Ronsse, Philippe Lefèvre, Rodolphe Sepulchre:
  Robotics and neuroscience: A rhythmic interaction. 577-583
  
• Jun Tani, Ryunosuke Nishimoto, Rainer W. Paine:
  Achieving "organic compositionality" through self-organization: Reviews on brain-inspired robotics experiments. 584-603
  
• Christian Smith, Mattias Bratt, Henrik I. Christensen:
  Teleoperation for a ball-catching task with significant dynamics. 604-620
  
• Arash Mahboobin, Patrick J. Loughlin, Mark S. Redfern, Stuart O. Anderson, Christopher G. Atkeson, Jessica K. Hodgins:
  Sensory adaptation in human balance control: Lessons for biomimetic robotic bipeds. 621-627
  
• Benoît Girard, Nicolas Tabareau, Quang-Cuong Pham, Alain Berthoz, Jean-Jacques E. Slotine:
  Where neuroscience and dynamic system theory meet autonomous robotics: A contracting basal ganglia model for action selection. 628-641
  
• Auke Jan Ijspeert:
  Central pattern generators for locomotion control in animals and robots: A review. 642-653
  
• Samuel K. Au, Max Berniker, Hugh M. Herr:
  Powered ankle-foot prosthesis to assist level-ground and stair-descent gaits. 654-666
  
• Christophe Maufroy, Hiroshi Kimura, Kunikatsu Takase:
  Towards a general neural controller for quadrupedal locomotion. 667-681
  
• Jan Peters, Stefan Schaal:
  Reinforcement learning of motor skills with policy gradients. 682-697
  

Volume 21, Number 5, June 2008

• William Gnadt, Stephen Grossberg:
  SOVEREIGN: An autonomous neural system for incrementally learning planned action sequences to navigate towards a rewarded goal. 699-758
  
• Giuseppe Emiliano La Cara, Mauro Ursino:
  A model of contour extraction including multiple scales, flexible inhibition and attention. 759-773
  
• Kunihiko Fukushima:
  Extraction of visual motion and optic flow. 774-785
  

• Peter Auer, Harald Burgsteiner, Wolfgang Maass:
  A learning rule for very simple universal approximators consisting of a single layer of perceptrons. 786-795
  

Volume 21, Number 6, August 2008

• Danilo P. Mandic, Wlodzislaw Duch:
  Preface. 797-798
  
• Yoshiyuki Asai, Apratim Guha, Alessandro E. P. Villa:
  Deterministic neural dynamics transmitted through neural networks. 799-809
  
• Francisco J. Veredas, Héctor Mesa, Luis A. Martínez:
  Imprecise correlated activity in self-organizing maps of spiking neurons. 810-816
  
• Elisa Magosso, Cristiano Cuppini, Andrea Serino, Giuseppe Di Pellegrino, Mauro Ursino:
  A theoretical study of multisensory integration in the superior colliculus by a neural network model. 817-829
  
• Simon McGregor:
  Further results in multiset processing with neural networks. 830-837
  
• Jiri Grim, Jan Hora:
  Iterative principles of recognition in probabilistic neural networks. 838-846
  
• Ying Wu, Colin Fyfe, Pei Ling Lai:
  Two forms of immediate reward reinforcement learning for exploratory data analysis. 847-855
  
• Mark Robinson, Cristina González Castellano, Faisal Rezwan, Rod Adams, Neil Davey, Alastair Rust, Yi Sun:
  Combining experts in order to identify binding sites in yeast and mouse genomic data. 856-861
  
• Eric A. Antonelo, Benjamin Schrauwen, Dirk Stroobandt:
  Event detection and localization for small mobile robots using reservoir computing. 862-871
  
• Giuliano Grossi, Federico Pedersini:
  FPGA implementation of a stochastic neural network for monotonic pseudo-Boolean optimization. 872-879
  

Volume 21, Number 7, September 2008

• Vito Logar, Ales Belic, Blaz Koritnik, Simon Brezan, Janez Zidar, Rihard Karba, Drago Matko:
  Using ANNs to predict a subject's response based on EEG traces. 881-887
  
• Simon M. Stringer, Edmund T. Rolls:
  Learning transform invariant object recognition in the visual system with multiple stimuli present during training. 888-903
  
• Iván Olier, Alfredo Vellido:
  Advances in clustering and visualization of time series using GTM through time. 904-913
  
• Jiann-Ming Wu, Meng-Hong Chen, Zheng-Han Lin:
  Independent component analysis based on marginal density estimation using weighted Parzen windows. 914-924
  
• Sven Buchholz, Gerald Sommer:
  On Clifford neurons and Clifford multi-layer perceptrons. 925-935
  
• Riadh Mtibaa, Masanori Idesawa, Yutaka Sakaguchi, Fumihiko Ishida:
  A computational model of perceptual grouping and 3D surface completion in the mime effect. 936-944
  
• Sébastien Issanchou, Jean-Pierre Gauchi:
  Computer-aided optimal designs for improving neural network generalization. 945-950
  
• César Hervás-Martínez, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz:
  Multilogistic regression by means of evolutionary product-unit neural networks. 951-961
  
• Jacques Demongeot, Sylvain Sené:
  Boundary conditions and phase transitions in neural networks. Simulation results. 962-970
  
• Jacques Demongeot, Christelle Jézéquel, Sylvain Sené:
  Boundary conditions and phase transitions in neural networks. Theoretical results. 971-979
  
• Kenji Nagata, Sumio Watanabe:
  Asymptotic behavior of exchange ratio in exchange Monte Carlo method. 980-988
  
• Haikun Wei, Shun-ichi Amari:
  Dynamics of learning near singularities in radial basis function networks. 989-1005
  
• J. Manuel Cano Izquierdo, Julio Ibarrola, Miguel Pinzolas, Miguel Almonacid:
  dNSP: A biologically inspired dynamic Neural network approach to Signal Processing. 1006-1019
  
• Koichi Odajima, Yoichi Hayashi, Gong Tianxia, Rudy Setiono:
  Greedy rule generation from discrete data and its use in neural network rule extraction. 1020-1028
  
• Nadia Mammone, Francesco Carlo Morabito:
  Enhanced automatic artifact detection based on independent component analysis and Renyi's entropy. 1029-1040
  
• Sébastien Hélie:
  Energy minimization in the nonlinear dynamic recurrent associative memory. 1041-1044
  

Volume 21, Number 8, October 2008

• Jan G. Bjaalie, Sten Grillner, Shiro Usui:
  Neuroinformatics: Databases, tools, and computational modeling for studying the nervous system. 1045-1046
  
• Tomoki Kazawa, Hidetoshi Ikeno, Ryohei Kanzaki:
  Development and application of a neuroinformatics environment for neuroscience and neuroethology. 1047-1055
  
• Akira Sato, Yukiko Sekine, Chihiro Saruta, Hirozumi Nishibe, Noriyuki Morita, Yumi Sato, Tetsushi Sadakata, Yo Shinoda, Toshio Kojima, Teiichi Furuichi:
  Cerebellar development transcriptome database (CDT-DB): Profiling of spatio-temporal gene expression during the postnatal development of mouse cerebellum. 1056-1069
  
• Andreas V. M. Herz, Ralph Meier, Martin P. Nawrot, Willi Schiegel, Tiziano Zito:
  G-Node: An integrated tool-sharing platform to support cellular and systems neurophysiology in the age of global neuroinformatics. 1070-1075
  
• Martyn Fletcher, Bojian Liang, Leslie Smith, Alastair Knowles, Tom Jackson, Mark Jessop, Jim Austin:
  Neural network based pattern matching and spike detection tools and services - in the CARMEN neuroinformatics project. 1076-1084
  
• Ralph Meier, Ulrich Egert, Ad Aertsen, Martin P. Nawrot:
  FIND - A unified framework for neural data analysis. 1085-1093
  
• Jie Cui, Lei Xu, Steven L. Bressler, Mingzhou Ding, Hualou Liang:
  BSMART: A Matlab/C. 1094-1104
  
• Xiaoli Li, John G. R. Jefferys, John Fox, Xin Yao:
  Neuronal population oscillations of rat hippocampus during epileptic seizures. 1105-1111
  
• Jo-Anne Ting, Aaron D'Souza, Kenji Yamamoto, Toshinori Yoshioka, Donna L. Hoffman, Shinji Kakei, Lauren Sergio, John Kalaska, Mitsuo Kawato, Peter Strick, Stefan Schaal:
  Variational Bayesian least squares: An application to brain-machine interface data. 1112-1131
  
• Brad Aisa, Brian Mingus, Randy O'Reilly:
  The Emergent neural modeling system. 1146-1152
  
• Ruggero Scorcioni, David J. Hamilton, Giorgio A. Ascoli:
  Self-sustaining non-repetitive activity in a large scale neuronal-level model of the hippocampal circuit. 1153-1163
  
• Marc de Kamps, Volker Baier, Johannes Drever, Melanie Dietz, Lorenz Mösenlechner, Frank van der Velde:
  The state of MIIND. 1164-1181
  
• Wentao Huang, Licheng Jiao, Jianhua Jia:
  Modeling contextual modulation in the primary visual cortex. 1182-1196
  
• Kazuhiro Shimonomura, Tetsuya Yagi:
  Neuromorphic VLSI vision system for real-time texture segregation. 1197-1204
  
• Antoine Naud, Shiro Usui:
  Exploration of a collection of documents in neuroscience and extraction of topics by clustering. 1205-1211
  

Volume 21, Number 9, November 2008

• George Mengov, Henrik Egbert, Stefan Pulov, Kalin Georgiev:
  Emotional balances in experimental consumer choices. 1213-1219
  
• Alexandra Laflamme-Sanders, Mu Zhu:
  LAGO on the unit sphere. 1220-1223
  
• Yuichi Yamashita, Miki Takahasi, Tetsu Okumura, Maki Ikebuchi, Hiroko Yamada, Madoka Suzuki, Kazuo Okanoya, Jun Tani:
  Developmental learning of complex syntactical song in the Bengalese finch: A neural network model. 1224-1231
  
• Liel Rubinsky, Nadav Raichman, Jacob Lavee, Hanan Frenk, Eshel Ben-Jacob:
  Spatio-temporal motifs 'remembered' in neuronal networks following profound hypothermia. 1232-1237
  
• Konrad Schindler, Luc J. Van Gool, Béatrice de Gelder:
  Recognizing emotions expressed by body pose: A biologically inspired neural model. 1238-1246
  
• Kay Henning Brodersen, William D. Penny, Lee M. Harrison, Jean Daunizeau, Christian C. Ruff, Emrah Düzel, Karl J. Friston, Klaas E. Stephan:
  Integrated Bayesian models of learning and decision making for saccadic eye movements. 1247-1260
  
• Joaquín J. Torres, Joaquín Marro, Jesús M. Cortés, B. Wemmenhove:
  Instabilities in attractor networks with fast synaptic fluctuations and partial updating of the neurons activity. 1272-1277
  
• Masashi Sugiyama, Neil Rubens:
  A batch ensemble approach to active learning with model selection. 1278-1286
  
• Habiboulaye Amadou Boubacar, Stéphane Lecoeuche, Salah Maouche:
  SAKM: Self-adaptive kernel machine A kernel-based algorithm for online clustering. 1287-1301
  
• Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre:
  Data classification with multilayer perceptrons using a generalized error function. 1302-1310
  
• Leila Ait Gougam, Mouloud Tribeche, Fawzia Mekideche-Chafa:
  A systematic investigation of a neural network for function approximation. 1311-1317
  
• Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin:
  2D co-ordinate transformation based on a spike timing-dependent plasticity learning mechanism. 1318-1327
  
• Ralph Linsker:
  Neural network learning of optimal Kalman prediction and control. 1328-1343
  
• Nicolás García-Pedrajas, Domingo Ortiz-Boyer:
  Boosting random subspace method. 1344-1362
  
• Fernanda L. Minku, Teresa Bernarda Ludermir:
  Clustering and co-evolution to construct neural network ensembles: An experimental study. 1363-1379
  
• Narayan Srinivasa, Stephen Grossberg:
  A head-neck-eye system that learns fault-tolerant saccades to 3-D targets using a self-organizing neural model. 1380-1391
  
• Lin Wu, Pierre Baldi:
  Learning to play Go using recursive neural networks. 1392-1400
  
• Sunho Park, Seungjin Choi:
  A constrained sequential EM algorithm for speech enhancement. 1401-1409
  
• Elif Derya Übeyli:
  Implementing eigenvector methods/probabilistic neural networks for analysis of EEG signals. 1410-1417
  
• Eiji Mizutani, Stuart E. Dreyfus:
  Corrigendum to: "Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature" [Neural Netw. 21(2-3) (2008) 193-203]. 1418
  

Volume 21, Number 10, December 2008

• Masumi Ishikawa, Kenji Doya:
  Mini-special issue: ICONIP 2007. 1419
  
• Sungmoon Jeong, Sang-Woo Ban, Minho Lee:
  Stereo saliency map considering affective factors and selective motion analysis in a dynamic environment. 1420-1430
  
• Hirotsugu Okuno, Tetsuya Yagi:
  A visually guided collision warning system with a neuromorphic architecture. 1431-1438
  
• Hee-Sang Ko, Kwang Y. Lee, Min-Jae Kang, Ho-Chan Kim:
  Power quality control of an autonomous wind-diesel power system based on hybrid intelligent controller. 1439-1446
  
• Eiji Uchibe, Kenji Doya:
  Finding intrinsic rewards by embodied evolution and constrained reinforcement learning. 1447-1455
  
• Liang Hu, Huijun Gao, Wei Xing Zheng:
  Novel stability of cellular neural networks with interval time-varying delay. 1458-1463
  
• Wei Wu, Dong Nan, Jinling Long, Yu-mei Ma:
  A comment on "Relaxed conditions for radial-basis function networks to be universal approximators". 1464-1465
  
• Jun Namikawa, Jun Tani:
  A model for learning to segment temporal sequences, utilizing a mixture of RNN experts together with adaptive variance. 1466-1475
  
• Joshua P. Salmon, Thomas P. Trappenberg:
  Modeling the integration of expectations in visual search with centre-surround neural fields. 1476-1492
  
• Patryk A. Laurent:
  The emergence of saliency and novelty responses from Reinforcement Learning principles. 1493-1499
  
• Wlodzislaw Duch, Pawel Matykiewicz, John Pestian:
  Neurolinguistic approach to natural language processing with applications to medical text analysis. 1500-1510
  
• Willem Waegeman, Bernard De Baets, Luc Boullart:
  Learning layered ranking functions with structured support vector machines. 1511-1523
  
• Simone Fiori:
  Lie-group-type neural system learning by manifold retractions. 1524-1529
  
• Filip Piekniewski, Tomasz Schreiber:
  Spontaneous scale-free structure of spike flow graphs in recurrent neural networks. 1530-1536
  
• Shen Furao, Osamu Hasegawa:
  A fast nearest neighbor classifier based on self-organizing incremental neural network. 1537-1547
  
• Yongping Zhao, Jianguo Sun:
  Robust support vector regression in the primal. 1548-1555
  
• Meng Joo Er, Yi Zhou:
  Automatic generation of fuzzy inference systems via unsupervised learning. 1556-1566
  

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