IEEE Transactions on Neural Networks, Volume 9

Volume 9, Number 1, January 1998

• Robert L. Coultrip:
  A CMOS binary pattern classifier based on Parzen's method. 2-10
  
• Sheng Ma, Chuanyi Ji:
  Fast training of recurrent networks based on the EM algorithm. 11-26
  
• J. R. Noriega, Hong Wang:
  A direct adaptive neural-network control for unknown nonlinear systems and its application. 27-34
  
• Friedrich Leisch, Lakhmi C. Jain, Kurt Hornik:
  Cross-validation with active pattern selection for neural-network classifiers. 35-41
  
• David Burshtein:
  Long-term attraction in higher order neural networks. 42-50
  
• Abraham Schultz, Harry Wechsler:
  A discrete dynamics model for synchronization of pulse-coupled oscillators. 51-57
  
• Tianping Chen, Yingbo Hua, Wei-Yong Yan:
  Global convergence of Oja's subspace algorithm for principal component extraction. 58-67
  
• Ali A. Ghorbani, Virendra C. Bhavsar:
  Incremental communication for multilayer neural networks: error analysis. 68-82
  
• Yan-Qing Zhang, Abraham Kandel:
  Compensatory neurofuzzy systems with fast learning algorithms. 83-105
  
• Y. Matsuyama:
  Multiple descent cost competition: restorable self-organization and multimedia information processing. 106-122
  
• Zied Malouche, Odile Macchi:
  Adaptive unsupervised extraction of one component of a linear mixture with a single neuron. 123-138
  
• Manuel Fernández Delgado, Senén Barro:
  MART: a multichannel ART-based neural network. 139-150
  
• LiMin Fu:
  Learning in certainty-factor-based multilayer neural networks for classification. 151-158
  
• J. S. Kane:
  A smart pixel-based feedforward neural network. 159-164
  
• E. C. Malthouse:
  Limitations of nonlinear PCA as performed with generic neural networks. 165-173
  
• Claudia Diamantini, Arnaldo Spalvieri:
  Quantizing for minimum average misclassification risk. 174-182
  
• Jun Wang, Youshen Xia:
  Analysis and design of primal-dual assignment networks. 183-194
  
• Michael J. Healy, Thomas P. Caudell:
  Guaranteed two-pass convergence for supervised and inferential learning. 195-204
  
• S. Sidney Fels, Geoffrey E. Hinton:
  Glove-TalkII-a neural-network interface which maps gestures to parallel formant speech synthesizer controls. 205-212
  
• Blake LeBaron, Andreas S. Weigend:
  A bootstrap evaluation of the effect of data splitting on financial time series. 213-220
  
• Hou Chunhai, Qian Jixin:
  Stability analysis for neural dynamics with time-varying delays. 221-223
  
• Guang-Bin Huang, Haroon A. Babri:
  Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functions. 224-229
  
• Howard C. Card:
  Doubly stochastic Poisson processes in artificial neural learning. 229-231
  
• Khashayar Pakdaman, C. P. Malta:
  A note on convergence under dynamical thresholds with delays. 231-233
  
• S. Das:
  Elements Of Artificial Neural Networks [Book Reviews]. 234-235
  

Volume 9, Number 2, March 1998

• Angelo Bernardini, Silvia De Fina:
  Optimal decision boundaries for M-QAM signal formats using neural classifiers. 241-246
  
• Adam Krzyzak, Tamás Linder:
  Radial basis function networks and complexity regularization in function learning. 247-256
  
• Robert Rae, Helge Ritter:
  Recognition of human head orientation based on artificial neural networks. 257-265
  
• Jen-Lun Yuan, Terrence L. Fine:
  Neural-network design for small training sets of high dimension. 266-280
  
• Gerhard X. Ritter, Peter Sussner, Juan Luis Díaz-de-León S.:
  Morphological associative memories. 281-293
  
• Yi-Jen Wang, Chin-Teng Lin:
  Runge-Kutta neural network for identification of dynamical systems in high accuracy. 294-307
  
• Lu Yingwei, N. Sundararajan, P. Saratchandran:
  Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm. 308-318
  
• Chanchal Chatterjee, Vwani P. Roychowdhury, Edwin K. P. Chong:
  On relative convergence properties of principal component analysis algorithms. 319-329
  
• D. Martinez:
  Neural tree density estimation for novelty detection. 330-338
  
• B. Ph. Van Milligen, V. Tribaldos, J. A. Jimenez, Carlos Santa Cruz:
  Comments on "Accelerated learning algorithm for multilayer perceptrons: optimization layer by layer". 339-341
  
• Yong Gao, Xiaofeng Qi, Francesco Palmieri:
  Comments on "Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space. I. Basic properties of selection and mutation" [and reply]. 341-343
  
• Xiaofeng Qi, Francesco Palmieri:
  Authors' Reply. 342-343
  

Volume 9, Number 3, May 1998

• F. Shiratani, K. Yamamoto:
  Deterministic annealing techniques for a discrete-time neural-network updating in a block-sequential mode. 345-353
  
• M. K. Sudareshan, T. A. Condarcure:
  Recurrent neural-network training by a learning automaton approach for trajectory learning and control system design. 354-368
  
• Hee-Heon Song, Seong-Whan Lee:
  A self-organizing neural tree for large-set pattern classification. 369-380
  
• Renato De Leone, Rosario Capparuccia, Emanuela Merelli:
  A successive overrelaxation backpropagation algorithm for neural-network training. 381-388
  
• J. I. Khan:
  Characteristics of multidimensional holographic associative memory in retrieval with dynamically localizable attention. 389-406
  
• Songwu Lu, T. Basar:
  Robust nonlinear system identification using neural-network models. 407-429
  
• K. H. Chon, N.-H. Holstein-Rathlou, D. J. Marsh, V. Z. Marmarelis:
  Comparative nonlinear modeling of renal autoregulation in rats: Volterra approach versus artificial neural networks. 430-435
  
• Konstantinos I. Diamantaras, Michael G. Strintzis:
  Neural classifiers using one-time updating. 436-447
  
• G. Zhou, J. Si:
  Advanced neural-network training algorithm with reduced complexity based on Jacobian deficiency. 448-453
  
• Xi Miao, Mahmood R. Azimi-Sadjadi, Bin Tan, A. C. Dubey, N. H. Witherspoon:
  Detection of mines and minelike targets using principal component and neural-network methods. 454-463
  
• Yocheved Dotan, Nathan Intrator:
  Multimodality exploration by an unsupervised projection pursuit neural network. 464-472
  
• S. Weaver, L. Baird, Marios M. Polycarpou:
  An analytical framework for local feedforward networks. 473-482
  
• V. Chandrasekaran, Zhi-Qiang Liu:
  Topology constraint free fuzzy gated neural networks for pattern recognition. 483-502
  
• C. Amerijckx, Michel Verleysen, Philippe Thissen, Jean-Didier Legat:
  Image compression by self-organized Kohonen map. 503-507
  
• D. A. Miller, J. M. Zurada:
  A dynamical system perspective of structural learning with forgetting. 508-515
  
• P. P. Raghu, B. Yegnanarayana:
  Supervised texture classification using a probabilistic neural network and constraint satisfaction model. 516-522
  
• P. S. Linsay, DeLiang L. Wang:
  Fast numerical integration of relaxation oscillator networks based on singular limit solutions. 523-532
  
• Catherine Z. W. Hassell Sweatman, Bernard Mulgrew, Gavin J. Gibson:
  Two algorithms for neural-network design and training with application to channel equalization. 533-543
  
• T. Frank, Karl-Friedrich Kraiss, Torsten Kuhlen:
  Comparative analysis of fuzzy ART and ART-2A network clustering performance. 544-559
  
• George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo:
  Using self-organizing maps to learn geometric hash functions for model-based object recognition. 560-570
  
• Marco Gori, Marco Maggini, Enrico Martinelli, Giovanni Soda:
  Inductive inference from noisy examples using the hybrid finite state filter. 571-575
  
• Berthold Ruf, Michael Schmitt:
  Self-organization of spiking neurons using action potential timing. 575-578
  

Volume 9, Number 4, July 1998

• C. Kwan, Frank L. Lewis, Darren M. Dawson:
  Robust neural-network control of rigid-link electrically driven robots. 581-588
  
• Rafael Fierro, Frank L. Lewis:
  Control of a nonholonomic mobile robot using neural networks. 589-600
  
• Witold Pedrycz:
  Conditional fuzzy clustering in the design of radial basis function neural networks. 601-612
  
• Rüdiger W. Brause, M. Rippl:
  Noise suppressing sensor encoding and neural signal orthonormalization. 613-628
  
• Marcelo C. M. Teixeira, Stanislaw H. Zak:
  Analog neural nonderivative optimizers. 629-638
  
• Dirk Ormoneit, Volker Tresp:
  Averaging, maximum penalized likelihood and Bayesian estimation for improving Gaussian mixture probability density estimates. 639-650
  
• A. Ruiz, David H. Owens, Stuart Townley:
  Existence, learning, and replication of periodic motions in recurrent neural networks. 651-661
  
• Nick K. Treadgold, Tamás D. Gedeon:
  Simulated annealing and weight decay in adaptive learning: the SARPROP algorithm. 662-668
  
• Seán F. McLoone, M. D. Brown, George W. Irwin, G. Lightbody:
  A hybrid linear/nonlinear training algorithm for feedforward neural networks. 669-684
  
• Claus Nebauer:
  Evaluation of convolutional neural networks for visual recognition. 685-696
  
• L. Wang:
  Effects of noise in training patterns on the memory capacity of the fully connected binary Hopfield neural network: mean-field theory and simulations. 697-704
  
• Friedrich T. Sommer, Peter Dayan:
  Bayesian retrieval in associative memories with storage errors. 705-713
  
• Guang-Bin Huang, Haroon A. Babri:
  Comments on "Approximation capability in C(Rⁿ) by multilayer feedforward networks and related problems". 714-715
  
• Lipo Wang, Kate Smith:
  On chaotic simulated annealing. 716-718
  
• Oh Jun Kwon, Sung Yang Bang, Gühan Dündar, K. Rose:
  Comments on "The effects of quantization on multilayer neural networks" [and reply]. 718-719
  
• Gühan Dündar, K. Rose:
  Authors' Reply. 719-719
  

Volume 9, Number 5, September 1998

• C. Lee Giles, R. Sun, J. M. Zurada:
  Neural Networks And Hybrid Intelligent Models: Foundations, Theory, And Applications. 721-723
  
• Andrea Baraldi, Palma Blonda, F. Parmiggiani, G. Pasquariello, G. Satalino:
  Model transitions in descending FLVQ. 724-738
  
• Samuel W. K. Chan, James Franklin:
  Symbolic connectionism in natural language disambiguation. 739-755
  
• Wael A. Farag, Victor H. Quintana, Germano Lambert-Torres:
  A genetic-based neuro-fuzzy approach for modeling and control of dynamical systems. 756-767
  
• Paolo Frasconi, Marco Gori, Alessandro Sperduti:
  A general framework for adaptive processing of data structures. 768-786
  
• LiMin Fu:
  A neural-network model for learning domain rules based on its activation function characteristics. 787-795
  
• Jérôme Kodjabachian, Jean-Arcady Meyer:
  Evolution and development of neural controllers for locomotion, gradient-following, and obstacle-avoidance in artificial insects. 796-812
  
• M. Kubat:
  Decision trees can initialize radial-basis function networks. 813-821
  
• Rajeev Kumar, Peter Rockett:
  Multiobjective genetic algorithm partitioning for hierarchical learning of high-dimensional pattern spaces: a learning-follows-decomposition strategy. 822-830
  
• Ricardo José Machado, Valmir C. Barbosa, Paulo Alexandre Neves:
  Learning in the combinatorial neural model. 831-847
  
• M. Meneganti, F. S. Saviello, Roberto Tagliaferri:
  Fuzzy neural networks for classification and detection of anomalies. 848-861
  
• Vassilios Petridis, E. Paterakis, Athanasios Kehagias:
  A hybrid neural-genetic multimodel parameter estimation algorithm. 862-876
  
• Vassilios Petridis, Vassilis G. Kaburlasos:
  Fuzzy lattice neural network (FLNN): a hybrid model for learning. 877-890
  
• Dipti Deodhare, M. Vidyasagar, S. Sathiya Keerthi:
  Synthesis of fault-tolerant feedforward neural networks using minimax optimization. 891-900
  
• Jui-Cheng Yen, Jiun-In Guo, Hun-Chen Chen:
  A new k-winners-take-all neural network and its array architecture. 901-912
  
• Soumitra Das, Oluseyi Olurotimi:
  Noisy recurrent neural networks: the continuous-time case. 913-936
  
• Oluseyi Olurotimi, Soumitra Das:
  Noisy recurrent neural networks: the discrete-time case. 937-946
  
• Zhihong Man, Hong Ren Wu, M. Palaniswami:
  An adaptive tracking controller using neural networks for a class of nonlinear systems. 947-955
  
• Fuchun Sun, Zengqi Sun, Peng-Yung Woo:
  Stable neural-network-based adaptive control for sampled-data nonlinear systems. 956-968
  
• V. Maiorov, R. S. Meir:
  Approximation bounds for smooth functions in C(R^d) by neural and mixture networks. 969-978
  
• Louiza Sellami, Robert W. Newcomb:
  An inverse Hollis-Paulos artificial neural network. 979-986
  
• Isaac E. Lagaris, Aristidis Likas, Dimitrios I. Fotiadis:
  Artificial neural networks for solving ordinary and partial differential equations. 987-1000
  
• J. A. Farrell:
  On performance evaluation in online approximation for control. 1001-1007
  
• J. A. Farrell:
  Stability and approximator convergence in nonparametric nonlinear adaptive control. 1008-1020
  
• Torbjørn Eltoft, Rui J. P. deFigueiredo:
  A new neural network for cluster-detection-and-labeling. 1021-1035
  
• Stamatios V. Kartalopoulos:
  An associative RAM-based CAM and its application to broadband communications systems. 1036-1041
  
• Xiaofeng Liao, Juebang Yu:
  Robust stability for interval Hopfield neural networks with time delay. 1042-1045
  
• Chun-Liang Lin:
  Control of perturbed systems using neural networks. 1046-1050
  
• Marco Gori, Ah Chung Tsoi:
  Comments on local minima free conditions in multilayer perceptrons. 1051-1053
  
• Richard S. Sutton, Andrew G. Barto:
  Reinforcement Learning: An Introduction. 1054-1054
  
• J. A. Anderson, E. Rosenfield:
  Talking Nets: An Oral History Of Neural Networks. 1054-1054
  

Volume 9, Number 6, November 1998

• Alan B. Tickle, Robert Andrews, Mostefa Golea, Joachim Diederich:
  The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks. 1057-1068
  
• Claudio Turchetti, Massimo Conti, Paolo Crippa, Simone Orcioni:
  On the approximation of stochastic processes by approximate identity neural networks. 1069-1085
  
• Marco Gori, Franco Scarselli, Ah Chung Tsoi:
  On the closure of the set of functions that can be realized by a given multilayer perceptron. 1086-1098
  
• Guoyin Wang, Hongbao Shi:
  TMLNN: triple-valued or multiple-valued logic neural network. 1099-1117
  
• Sorin Cotofana, Stamatis Vassiliadis:
  Periodic symmetric functions, serial addition, and multiplication with neural networks. 1118-1128
  
• Don R. Hush, Bill G. Horne:
  Efficient algorithms for function approximation with piecewise linear sigmoidal networks. 1129-1141
  
• Nikil R. Pal, Vijay K. Eluri:
  Two efficient connectionist schemes for structure preserving dimensionality reduction. 1142-1154
  
• Andrew R. Webb, Simon Shannon:
  Shape-adaptive radial basis functions. 1155-1166
  
• Benedito Dias Baptista F. Filho, Eduardo Lobo Lustosa Cabral, Adalberto Jose Soares:
  A new approach to artificial neural networks. 1167-1179
  
• Steven Young, Tom Downs:
  CARVE-a constructive algorithm for real-valued examples. 1180-1190
  
• Haruhisa Takahashi, Hanzhong Gu:
  A tight bound on concept learning. 1191-1202
  
• Mohua Banerjee, Sushmita Mitra, Sankar K. Pal:
  Rough fuzzy MLP: knowledge encoding and classification. 1203-1216
  
• Ron Sun, Todd Peterson:
  Autonomous learning of sequential tasks: experiments and analyses. 1217-1234
  
• W. C. Chu, N. K. Bose:
  Vector quantization of neural networks. 1235-1245
  
• Jean Pierre Delmas, Jean-Francois Cardos:
  Asymptotic distributions associated to Oja's learning equation for neural networks. 1246-1257
  
• Clifford Sze-Tsan Choy, Wan-Chi Siu:
  A class of competitive learning models which avoids neuron underutilization problem. 1258-1269
  
• Karin Haese:
  Self-organizing feature maps with self-adjusting learning parameters. 1270-1278
  
• Dietmar Heinke, Fred Henrik Hamker:
  Comparing neural networks: a benchmark on growing neural gas, growing cell structures, and fuzzy ARTMAP. 1279-1291
  
• Gangsheng Wang, Nirwan Ansari:
  Searching for optimal frame patterns in an integrated TDMA communication system using mean field annealing. 1292-1300
  
• Kate A. Smith, Marimuthu Palaniswami, M. Krishnamoorthy:
  Neural techniques for combinatorial optimization with applications. 1301-1318
  
• Satoshi Matsuda:
  "Optimal" Hopfield network for combinatorial optimization with linear cost function. 1319-1330
  
• Youshen Xia, Jun Wang:
  A general methodology for designing globally convergent optimization neural networks. 1331-1343
  
• María José Pérez-Ilzarbe:
  Convergence analysis of a discrete-time recurrent neural network to perform quadratic real optimization with bound constraints. 1344-1351
  
• Sven Behnke, Nicolaos B. Karayiannis:
  Competitive neural trees for pattern classification. 1352-1369
  
• Carlos Santa Cruz, José R. Dorronsoro:
  A nonlinear discriminant algorithm for feature extraction and data classification. 1370-1376
  
• Si Wu, K. Y. Michael Wong:
  Dynamic overload control for distributed call processors using the neural network method. 1377-1387
  
• Thomas Parisini, Riccardo Zoppoli:
  Neural approximations for infinite-horizon optimal control of nonlinear stochastic systems. 1388-1408
  
• Shouling He, Konrad Reif, Rolf Unbehauen:
  A neural approach for control of nonlinear systems with feedback linearization. 1409-1421
  
• Suttipan Limanond, Jennie Si:
  Neural network-based control design: an LMI approach. 1422-1429
  
• Sin-Horng Chen, Yuan-Fu Liao:
  Modular recurrent neural networks for Mandarin syllable recognition. 1430-1441
  
• Cheolwoo You, Daesik Hong:
  Nonlinear blind equalization schemes using complex-valued multilayer feedforward neural networks. 1442-1455
  
• Emad W. Saad, Danil V. Prokhorov, Donald C. Wunsch II:
  Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks. 1456-1470
  
• Amir B. Geva:
  ScaleNet-multiscale neural-network architecture for time series prediction. 1471-1482
  
• Luigi Raffo, Silvio P. Sabatini, Gian Marco Bo, Giacomo M. Bisio:
  Analog VLSI circuits as physical structures for perception in early visual tasks. 1483-1494
  
• Mark Girolami, Andrzej Cichocki, Shun-ichi Amari:
  A common neural-network model for unsupervised exploratory data analysis and independent component analysis. 1495-1501
  
• Satoshi Yamada, Michio Nakashima, Satoru Shiono:
  Reinforcement learning to train a cooperative network with both discrete and continuous output neurons. 1502-1508
  
• Francisco J. González-Serrano, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez:
  Generalizing CMAC architecture and training. 1509-1514
  
• R. B. Chinman, J. Ding:
  Prediction limit estimation for neural network models. 1515-1522
  
• Nobuo Funabiki, Junji Kitamichi:
  A gradual neural-network algorithm for jointly time-slot/code assignment problems in packet radio networks. 1523-1528
  
• H. C. Anderson, Ahmad Lotfi, L. C. Westphal, J. R. Jang:
  Comments on "Functional equivalence between radial basis function networks and fuzzy inference systems" [and reply]. 1529-1532
  
• Jyh-Shing Roger Jang:
  Author's Reply. 1531-1532
  
• Andrea Baraldi, Palma Blonda, F. Parmiggiani, G. Pasquariello, G. Satalino:
  Errata to "Model Transitions in Descending FLVQ". 1532-1532
  
• Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski:
  Data Mining Methods for Knowledge Discovery. 1533-1534