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- 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
- LiMin Fu: Learning in certainty-factor-based multilayer neural networks for classification. 151-158
- Jonathan 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
- 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
- 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
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
- Ki H. Chon, Niels-Henrik 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
- 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
- Scott Weaver, Leemon 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 B. 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
- Dirk Ormoneit, Volker Tresp: Averaging, maximum penalized likelihood and Bayesian estimation for improving Gaussian mixture probability density estimates. 639-650
- Antonio C. 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, Gordon 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
- Oh Jun Kwon, Sung Yang Bang, Günhan Dündar, K. Rose: Comments on "The effects of quantization on multilayer neural networks" [and reply]. 718-719
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, Guido Pasquariello, Giuseppe 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
- Zhihong Man, Hong Ren Wu, Marimuthu 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. E. Maiorov, R. S. Meir: Approximation bounds for smooth functions in C(Rd) by neural and mixture networks. 969-978
- 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
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
- 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
- Nikhil R. Pal, Vijay K. Eluri: Two efficient connectionist schemes for structure preserving dimensionality reduction. 1142-1154
- Benedito Dias Baptista F. Filho, Eduardo Lobo Lustosa Cabral, Adalberto Jose Soares: A new approach to artificial neural networks. 1167-1179
- 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
- Jean Pierre Delmas, Jean-François Cardoso: 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
- 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 Javier González-Serrano, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez: Generalizing CMAC architecture and training. 1509-1514
- 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, Guido Pasquariello, Giuseppe 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
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