IEEE Transactions on Neural Networks, Volume 17

Volume 17, Number 1, January 2006

• Kazushi Ikeda:
  Effects of kernel function on Nu support vector machines in extreme cases. 1-9
  
• Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli:
  Recursive processing of cyclic graphs. 10-18
  
• Yong Xu, Kwok-Wo Wong, Chi-Sing Leung:
  Generalized RLS approach to the training of neural networks. 19-34
  
• Vivien Rossi, Jean-Pierre Vila:
  Bayesian multioutput feedforward neural networks comparison: a conjugate prior approach. 35-47
  
• Ivor Wai-Hung Tsang, James Tin-Yau Kwok:
  Efficient hyperkernel learning using second-order cone programming. 48-58
  
• Sylvain Chartier, Mounir Boukadoum:
  A sequential dynamic heteroassociative memory for multistep pattern recognition and one-to-many association. 59-68
  
• Jinn-Tsong Tsai, Jyh-Horng Chou, Tung-Kuan Liu:
  Tuning the structure and parameters of a neural network by using hybrid Taguchi-genetic algorithm. 69-80
  
• Rory G. Mulvaney, Dhananjay S. Phatak:
  Generalized haar DWT and transformations between decision trees and neural networks. 81-93
  
• Waldemar Swiercz, Krzysztof J. Cios, Kevin Staley, Lukasz A. Kurgan, Frank Accurso, Scott Sagel:
  A new synaptic plasticity rule for networks of spiking neurons. 94-105
  
• Shangjiang Guo, Lihong Huang:
  Stability analysis of Cohen-Grossberg neural networks. 106-117
  
• Farzaneh Abdollahi, Heidar A. Talebi, Rajnikant V. Patel:
  A stable neural network-based observer with application to flexible-joint manipulators. 118-129
  
• Cong Wang, David J. Hill:
  Learning from neural control. 130-146
  
• Wenzhi Gao, Rastko R. Selmic:
  Neural network control of a class of nonlinear systems with actuator saturation. 147-156
  
• Haifeng Li, Tao Jiang, Keshu Zhang:
  Efficient and robust feature extraction by maximum margin criterion. 157-165
  
• Juwei Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos, Stan Z. Li:
  Ensemble-based discriminant learning with boosting for face recognition. 166-178
  
• Samer A. Abdallah, Mark D. Plumbley:
  Unsupervised analysis of polyphonic music by sparse coding. 179-196
  
• Seiji Kameda, Tetsuya Yagi:
  An analog silicon retina with multichip configuration. 197-210
  
• Giacomo Indiveri, Elisabetta Chicca, Rodney J. Douglas:
  A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity. 211-221
  
• Massoud Momeni, Albert H. Titus:
  An analog VLSI chip emulating polarization vision of octopus retina. 222-232
  
• Wenming Zheng, Xiaoyan Zhou, Cairong Zou, Li Zhao:
  Facial expression recognition using kernel canonical correlation analysis (KCCA). 233-238
  
• Chunling Yang, Yong Yu, Dongyang Zhao, Guoliang Zhao:
  Study on modeling of multispectral emissivity and optimization algorithm. 238-242
  
• Sunan Huang, Kok Kiong Tan, Tong Heng Lee:
  Nonlinear adaptive control of interconnected systems using neural networks. 243-246
  
• Ming-Jung Seow, Vijayan K. Asari:
  Recurrent neural network as a linear attractor for pattern association. 246-250
  
• Yong He, Min Wu, Jin-Hua She:
  An improved global asymptotic stability criterion for delayed cellular neural networks. 250-252
  
• Mao Ye:
  Global convergence analysis of a discrete time nonnegative ICA algorithm. 253-256
  
• Anna Szymkowiak-Have, Mark Girolami, Jan Larsen:
  Clustering via kernel decomposition. 256-264
  
• Pingzhou Liu, Qing-Long Han:
  On stability of recurrent neural networks-an approach from volterra integro-differential equations. 264-267
  
• Yongjun Deng, Zhixing Yang:
  Comments on "Complex-bilinear recurrent neural network for equalization of a digital Satellite Channel". 268
  

Volume 17, Number 2, March 2006

• Alfred Jean Philippe Lauret, Eric Fock, Thierry Alex Mara:
  A node pruning algorithm based on a Fourier amplitude sensitivity test method. 273-293
  
• Chung-Chian Hsu:
  Generalizing self-organizing map for categorical data. 294-304
  
• Erik Berglund, Joaquin Sitte:
  The parameterless self-organizing map algorithm. 305-316
  
• Weishui Wan:
  Implementing online natural gradient learning: problems and solutions. 317-329
  
• David A. Elizondo:
  The linear separability problem: some testing methods. 330-344
  
• Marko Jankovic, Hidemitsu Ogawa:
  Modulated Hebb-Oja learning Rule-a method for principal subspace analysis. 345-356
  
• Marcin Witczak:
  Toward the training of feed-forward neural networks with the D-optimum input sequence. 357-373
  
• Terence A. Etchells, Paulo J. G. Lisboa:
  Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approach. 374-384
  
• Sylvain Chartier, Mounir Boukadoum:
  A bidirectional heteroassociative memory for binary and grey-level patterns. 385-396
  
• Jacques M. Bahi, Sylvain Contassot-Vivier:
  Basins of attraction in fully asynchronous discrete-time discrete-state dynamic networks. 397-408
  
• Huajin Tang, Kay Chen Tan, Eu Jin Teoh:
  Dynamics analysis and analog associative memory of networks with LT neurons. 409-418
  
• Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari:
  Blind estimation of channel parameters and source components for EEG signals: a sparse factorization approach. 419-431
  
• Faa-Jeng Lin, Hsin-Jang Shieh, Po-Kai Huang:
  Adaptive wavelet neural network control with hysteresis estimation for piezo-positioning mechanism. 432-444
  
• Jeongho Cho, José Carlos Príncipe, Deniz Erdogmus, Mark A. Motter:
  Modeling and inverse controller design for an unmanned aerial vehicle based on the self-organizing map. 445-460
  
• Sukumar Mishra:
  Neural-network-based adaptive UPFC for improving transient stability performance of power system. 461-470
  
• Gavin C. Cawley, Nicola L. C. Talbot, Gareth J. Janacek, Mike W. Peck:
  Sparse bayesian kernel survival analysis for modeling the growth domain of microbial pathogens. 471-481
  
• Zhijun Yang, Alan F. Murray, Florentin Wörgötter, Katherine L. Cameron, Vasin Boonsobhak:
  A neuromorphic depth-from-motion vision model with STDP adaptation. 482-495
  
• Susanne Still, Klaus Hepp, Rodney J. Douglas:
  Neuromorphic walking gait control. 496-508
  
• Hongbin Du, Huihe Shao, Pingjing Yao:
  Adaptive neural network control for a class of low-triangular-structured nonlinear systems. 509-514
  
• Xiaoqin Zeng, Yingfeng Wang, Kang Zhang:
  Computation of Adalines' sensitivity to weight perturbation. 515-519
  
• Giovanni Costantini, Daniele Casali, Renzo Perfetti:
  Associative memory design for 256 gray-level images using a multilayer neural network. 519-522
  
• Naimin Zhang, Wei Wu, Gaofeng Zheng:
  Convergence of gradient method with momentum for two-Layer feedforward neural networks. 522-525
  
• Hua Deng, Han-Xiong Li:
  On the new method for the control of discrete nonlinear dynamic systems using neural networks. 526-529
  
• Temujin Gautama, Marc M. Van Hulle:
  Batch map extensions of the kernel-based maximum entropy learning rule. 529-532
  
• Jing Liu, Weicai Zhong, Licheng Jiao:
  Comments on "The 1993 DIMACS graph coloring Challenge" and "Energy function-based approaches to graph Coloring". 533
  

Volume 17, Number 3, May 2006

• Jiann-Ming Wu, Zheng-Han Lin, Pei-Hsun Hsu:
  Function approximation using generalized adalines. 541-558
  
• Peter Sussner, Marcos Eduardo Valle:
  Gray-scale morphological associative memories. 559-570
  
• Kei Kobayashi, Fumiyasu Komaki:
  Information criteria for support vector machines. 571-577
  
• Leonardo Franco, Martin Anthony:
  The influence of oppositely classified examples on the generalization complexity of Boolean functions. 578-590
  
• Jussi Pakkanen, Jukka Iivarinen, Erkki Oja:
  The evolving tree-analysis and applications. 591-603
  
• Zheng Rong Yang:
  A novel radial basis function neural network for discriminant analysis. 604-612
  
• Luis Weruaga, Barbara Kieslinger:
  Tikhonov training of the CMAC neural network. 613-622
  
• Zhigang Zeng, Jun Wang:
  Improved conditions for global exponential stability of recurrent neural networks with time-varying delays. 623-635
  
• Witold Pedrycz, Marek Reformat, Kuwen Li:
  OR/AND neurons and the development of interpretable logic models. 636-658
  
• Han-Xiong Li, Hua Deng:
  An approximate internal model-based neural control for unknown nonlinear discrete processes. 659-670
  
• Michael E. Mavroforakis, Sergios Theodoridis:
  A geometric approach to Support Vector Machine (SVM) classification. 671-682
  
• Stefanos Zafeiriou, Anastasios Tefas, Ioan Buciu, Ioannis Pitas:
  Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification. 683-695
  
• B. Fei, Jinbai Liu:
  Binary tree of SVM: a new fast multiclass training and classification algorithm. 696-704
  
• Shigang Yue, F. Claire Rind:
  Collision detection in complex dynamic scenes using an LGMD-based visual neural network with feature enhancement. 705-716
  
• Vikramjit Mitra, Chia-Jiu Wang, Satarupa Banerjee:
  Lidar detection of underwater objects using a neuro-SVM-based architecture. 717-731
  
• Lotfi Ben Romdhane:
  A softmin-based neural model for causal reasoning. 732-744
  
• Cesare Alippi, Fabio Scotti:
  Exploiting application locality to design low-complexity, highly performing, and power-aware embedded classifiers. 745-754
  
• Hsin Chen, P. C. D. Fleury, Alan F. Murray:
  Continuous-valued probabilistic behavior in a VLSI generative model. 755-770
  
• Alejandro Linares-Barranco, Gabriel Jiménez-Moreno, Bernabé Linares-Barranco, Antón Civit Balcells:
  On algorithmic rate-coded AER generation. 771-788
  
• Chong Wang, Wenyuan Wang:
  Links between PPCA and subspace methods for complete Gaussian density estimation. 789-792
  
• DucDung Nguyen, Tu Bao Ho:
  A bottom-up method for simplifying support vector solutions. 792-796
  
• Pei Gao, Wai Lok Woo, Satnam Singh Dlay:
  Nonlinear signal separation for multinonlinearity constrained mixing model. 796-802
  
• Phill Rowcliffe, Jianfeng Feng, Hilary Buxton:
  Spiking perceptrons. 803-807
  
• Riccardo Rizzo, Antonio Chella:
  A comparison between habituation and conscience mechanism in self-organizing maps. 807-810
  
• Steven Van Vaerenbergh, Ignacio Santamaría:
  A spectral clustering approach to underdetermined postnonlinear blind source separation of sparse sources. 811-814
  
• Zidong Wang, Yurong Liu, Maozhen Li, Xiaohui Liu:
  Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays. 814-820
  
• Michael R. Buehner, Peter Michael Young:
  A tighter bound for the echo state property. 820-824
  

Volume 17, Number 4, July 2006

• Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai:
  A statistical property of multiagent learning based on Markov decision process. 829-842
  
• Sebastian Weng, Heiko Wersing, Jochen J. Steil, Helge Ritter:
  Learning lateral interactions for feature binding and sensory segmentation from prototypic basis interactions. 843-862
  
• Guang-Bin Huang, Qin-Yu Zhu, Chee Kheong Siew:
  Real-time learning capability of neural networks. 863-878
  
• Guang-Bin Huang, Lei Chen, Chee Kheong Siew:
  Universal approximation using incremental constructive feedforward networks with random hidden nodes. 879-892
  
• Pai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin:
  A study on SMO-type decomposition methods for support vector machines. 893-908
  
• R. Kamimura:
  Cooperative information maximization with Gaussian activation functions for self-organizing maps. 909-918
  
• Derong Liu, Xiaoxu Xiong, Bhaskar DasGupta, Huaguang Zhang:
  Motif discoveries in unaligned molecular sequences using self-organizing neural networks. 919-928
  
• Razvan Andonie, Lucian Sasu:
  Fuzzy ARTMAP with input relevances. 929-941
  
• David Wedge, David Ingram, David McLean, Clive G. Mingham, Zuhair Bandar:
  On global-local artificial neural networks for function approximation. 942-952
  
• Gerardo Loreto, Ruben Garrido:
  Stable neurovisual servoing for robot manipulators. 953-965
  
• Constantinos Constantinopoulos, Aristidis Likas:
  An incremental training method for the probabilistic RBF network. 966-974
  
• Youshen Xia, Henry Leung:
  Nonlinear spatial-temporal prediction based on optimal fusion. 975-988
  
• Lipo Wang, Haixiang Shi:
  A gradual noisy chaotic neural network for solving the broadcast scheduling problem in packet radio networks. 989-1000
  
• N. K. Roy, Walter D. Potter, D. P. Landau:
  Polymer property prediction and optimization using neural networks. 1001-1014
  
• Baranidharan Raman, P. A. Sun, Agustin Gutierrez-Galvez, Ricardo Gutierrez-Osuna:
  Processing of chemical sensor arrays with a biologically inspired model of olfactory coding. 1015-1024
  
• Ryan J. Kier, J. C. Ames, Randall D. Beer, Reid R. Harrison:
  Design and implementation of multipattern generators in analog VLSI. 1025-1038
  
• L. J. Cao, S. Sathiya Keerthi, Chong Jin Ong, J. Q. Zhang, U. Periyathamby, Xiu Ju Fu, H. P. Lee:
  Parallel sequential minimal optimization for the training of support vector machines. 1039-1049
  
• Eduardo Ros, Eva M. Ortigosa, Rodrigo Agís, Richard R. Carrillo, Mike Arnold:
  Real-time computing platform for spiking neurons (RT-spike). 1050-1063
  
• Xia Hong:
  A fast identification algorithm for box-cox transformation based radial basis function neural network. 1064-1069
  
• DaeEun Kim:
  Neural network mechanism for the orientation behavior of sand scorpions towards prey. 1070-1076
  
• Yong He, Qing-Guo Wang, Min Wu, Chong Lin:
  Delay-dependent state estimation for delayed neural networks. 1077-1081
  
• Qingshan Liu, Xiaoou Tang, Hanqing Lu, Songde Ma:
  Face recognition using kernel scatter-difference-based discriminant analysis. 1081-1085
  
• Renzo Perfetti, Elisa Ricci:
  Analog neural network for support vector machine learning. 1085-1091
  
• Angel Navia-Vázquez, D. Gutiérrez-González, Emilio Parrado-Hernández, J. J. Navarro-Abellan:
  Distributed support vector machines. 1091-1097
  

Volume 17, Number 5, September 2006

• Jiang Li, Michael T. Manry, Pramod Lakshmi Narasimha, Changhua Yu:
  Feature Selection Using a Piecewise Linear Network. 1101-1115
  
• Laxmidhar Behera, Swagat Kumar, Awhan Patnaik:
  On Adaptive Learning Rate That Guarantees Convergence in Feedforward Networks. 1116-1125
  
• Ivor Wai-Hung Tsang, James Tin-Yau Kwok, Jacek M. Zurada:
  Generalized Core Vector Machines. 1126-1140
  
• Z. Zeng, J. Wang:
  Multiperiodicity of Discrete-Time Delayed Neural Networks Evoked by Periodic External Inputs. 1141-1151
  
• Hongtao Lu, Shun-ichi Amari:
  Global Exponential Stability of Multitime Scale Competitive Neural Networks With Nonsmooth Functions. 1152-1164
  
• Daniele Casali, Giovanni Costantini, Renzo Perfetti, Elisa Ricci:
  Associative Memory Design Using Support Vector Machines. 1165-1174
  
• Chun-Fei Hsu, Chih-Min Lin, Tsu-Tian Lee:
  Wavelet Adaptive Backstepping Control for a Class of Nonlinear Systems. 1175-1183
  
• Daniel Sbarbaro, Tor Arne Johansen:
  Analysis of Artificial Neural Networks for Pattern-Based Adaptive Control. 1184-1193
  
• Terry Windeatt:
  Accuracy/Diversity and Ensemble MLP Classifier Design. 1194-1211
  
• Q. Li, Biing-Hwang Juang:
  Study of a Fast Discriminative Training Algorithm for Pattern Recognition. 1212-1221
  
• Nicolaos B. Karayiannis, Yaohua Xiong:
  Training Reformulated Radial Basis Function Neural Networks Capable of Identifying Uncertainty in Data Classification. 1222-1234
  
• Rui Araújo:
  Prune-Able Fuzzy ART Neural Architecture for Robot Map Learning and Navigation in Dynamic Environments. 1235-1249
  
• Gonzalo Pajares:
  A Hopfield Neural Network for Image Change Detection. 1250-1264
  
• Zbynek Koldovský, Petr Tichavský, Erkki Oja:
  Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the CramÉr-Rao Lower Bound. 1265-1277
  
• Anmin Zhu, Simon X. Yang:
  A Neural Network Approach to Dynamic Task Assignment of Multirobots. 1278-1287
  
• Boaz Vigdor, Boaz Lerner:
  Accurate and Fast Off and Online Fuzzy ARTMAP-Based Image Classification With Application to Genetic Abnormality Diagnosis. 1288-1300
  
• Kai Keng Ang, Chai Quek:
  Stock Trading Using RSPOP: A Novel Rough Set-Based Neuro-Fuzzy Approach. 1301-1315
  
• Patrick Le Callet, Christian Viard-Gaudin, Dominique Barba:
  A Convolutional Neural Network Approach for Objective Video Quality Assessment. 1316-1327
  
• Davide Anguita, Stefano Pischiutta, Sandro Ridella, Dario Sterpi:
  Feed-Forward Support Vector Machine Without Multipliers. 1328-1331
  
• Guillermo Zatorre-Navarro, Nicolás J. Medrano-Marqués, S. Celma-Pueyo:
  Analysis and Simulation of a Mixed-Mode Neuron Architecture for Sensor Conditioning. 1332-1335
  
• Chee Siong Teh, Chee Peng Lim:
  Monitoring the Formation of Kernel-Based Topographic Maps in a Hybrid SOM-kMER Model. 1336-1341
  
• D.-L. Lee:
  Improvements of Complex-Valued Hopfield Associative Memory by Using Generalized Projection Rules. 1341-1347
  

Volume 17, Number 6, November 2006

• S. Gaerth Pierce, Yakov Ben-Haim, Keith Worden, Graeme Manson:
  Evaluation of Neural Network Robust Reliability Using Information-Gap Theory. 1349-1361
  
• Norikazu Takahashi, Tetsuo Nishi:
  Global Convergence of Decomposition Learning Methods for Support Vector Machines. 1362-1369
  
• Erkki Oja, Zhijian Yuan:
  The FastICA Algorithm Revisited: Convergence Analysis. 1370-1381
  
• F. Flentge:
  Locally Weighted Interpolating Growing Neural Gas. 1382-1393
  
• J. Sim, W. L. Tung, Chai Quek:
  FCMAC-Yager: A Novel Yager-Inference-Scheme-Based Fuzzy CMAC. 1394-1410
  
• Nan-Ying Liang, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan:
  A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks. 1411-1423
  
• Sheng Wan, L. E. Banta:
  Parameter Incremental Learning Algorithm for Neural Networks. 1424-1438
  
• Jian Xun Peng, Kang Li, De-Shuang Huang:
  A Hybrid Forward Algorithm for RBF Neural Network Construction. 1439-1451
  
• Teresa Bernarda Ludermir, Akio Yamazaki, Cleber Zanchettin:
  An Optimization Methodology for Neural Network Weights and Architectures. 1452-1459
  
• Janusz A. Starzyk, Zhen Zhu, Yue Li:
  Associative Learning in Hierarchical Self-Organizing Learning Arrays. 1460-1470
  
• Mauro Forti, Paolo Nistri, M. Quincampoix:
  Convergence of Neural Networks for Programming Problems via a Nonsmooth Lojasiewicz Inequality. 1471-1486
  
• Xiaolin Hu, Jun Wang:
  Solving Pseudomonotone Variational Inequalities and Pseudoconvex Optimization Problems Using the Projection Neural Network. 1487-1499
  
• Shubao Liu, Jun Wang:
  A Simplified Dual Neural Network for Quadratic Programming With Its KWTA Application. 1500-1510
  
• Min Chee Choy, Dipti Srinivasan, Ruey Long Cheu:
  Neural Networks for Continuous Online Learning and Control. 1511-1531
  
• Akira Hirose, Yasufumi Asano, Toshihiko Hamano:
  Developmental Learning With Behavioral Mode Tuning by Carrier-Frequency Modulation in Coherent Neural Networks. 1532-1543
  
• Chieh-Neng Young, Chen-Wen Yen, Yi-Hua Pao, Mark L. Nagurka:
  One-Class-at-a-Time Removal Sequence Planning Method for Multiclass Classification Problems. 1544-1549
  
• Hakan Cevikalp, Marian Neamtu, D. Mitch Wilkes:
  Discriminative Common Vector Method With Kernels. 1550-1565
  
• Ernst M. Kussul, Tatiana Baidyk, Donald C. Wunsch II, Oleksandr Makeyev, A. Martn:
  Permutation Coding Technique for Image Recognition Systems. 1566-1579
  
• Zhihong Man, Hong Ren Wu, Sophie Liu, Xinghuo Yu:
  A New Adaptive Backpropagation Algorithm Based on Lyapunov Stability Theory for Neural Networks. 1580-1591
  
• C. Mahendra, S. Puthusserypady:
  Multiuser Receiver for DS-CDMA Signals in Multipath Channels: An Enhanced Multisurface Method. 1592-1605
  
• Danil V. Prokhorov:
  Training Recurrent Neurocontrollers for Robustness With Derivative-Free Kalman Filter. 1606-1616
  
• Manel Martínez-Ramón, José Luis Rojo-Álvarez, Gustavo Camps-Valls, Jordi Muñoz-Marí, Angel Navia-Vázquez, Emilio Soria-Olivas, Aníbal R. Figueiras-Vidal:
  Support Vector Machines for Nonlinear Kernel ARMA System Identification. 1617-1622
  
• Eu Jin Teoh, Kay Chen Tan, Cheng Xiang:
  Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value Decomposition. 1623-1629
  
• Yongqing Yang, Jinde Cao:
  Solving Quadratic Programming Problems by Delayed Projection Neural Network. 1630-1634
  
• Mao Ye, Xuqian Fan, Xue Li:
  A Class of Self-Stabilizing MCA Learning Algorithms. 1634-1638
  
• Jinn-Wen Wu, Kuang-Yow Lian:
  Cellular Neural Field and Its Convergence Analysis. 1639-1641
  
• Hongmei He, O. Skora, E. Mkinen:
  An Improved Neural Network Model for the Two-Page Crossing Number Problem. 1642-1646
  
• Jinde Cao, Kun Yuan, Han-Xiong Li:
  Global Asymptotical Stability of Recurrent Neural Networks With Multiple Discrete Delays and Distributed Delays. 1646-1651
  
• Sheng Chen, Xunxian Wang, Xia Hong, Chris J. Harris:
  Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure. 1652-1656
  
• Hiroki Kusumoto, Yoshiyasu Takefuji:
  O(log_2M) Self-Organizing Map Algorithm Without Learning of Neighborhood Vectors. 1656-1661
  
• Chiapin Wang, Po-Chiang Lin, Tsungnan Lin:
  A Cross-Layer Adaptation Scheme for Improving IEEE 802.11e QoS by Learning. 1661-1665
  
• Teresa Serrano-Gotarredona, Bernabé Linares-Barranco:
  A Low-Power Current Mode Fuzzy-ART Cell. 1666-1673
  

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