Neural Networks, Volume 11

Volume 11, Number 1, January 1998

• Richard Rohwer, Michal Morciniec:
  The Theoretical and Experimental Status of the n-tuple Classifier. 1-14
  
• Franco Scarselli, Ah Chung Tsoi:
  Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New Results. 15-37
  
• Toshiki Kindo, Hideki Kakeya:
  A Geometrical Analysis of Associative Memory. 39-51
  
• Sreerupa Das, Michael Mozer:
  Dynamic On-line Clustering and State Extraction: An Approach to Symbolic Learning. 53-64
  
• Jie Zhang, A. J. Morris:
  A Sequential Learning Approach for Single Hidden Layer Neural Networks. 65-80
  
• James W. Howse, Chaouki T. Abdallah, Gregory L. Heileman:
  A learning algorithm for applying synthesized stable dynamics to system identification. 81-87
  
• Dirk Husmeier, John G. Taylor:
  Neural Networks for Predicting Conditional Probability Densities: Improved Training Scheme Combining EM and RVFL. 89-116
  
• Jim Kay, Dario Floreano, William A. Phillips:
  Contextually guided unsupervised learning using local multivariate binary processors. 117-140
  
• Rafik Braham:
  Incorporation of Long-Range Feedback in Neural Networks Under Stability Conditions. 141-144
  
• H. Alejandro Ceccatto, Hugo D. Navone, Henri Waelbroeck:
  Learning persistent dynamics with neural networks. 145-151
  
• Narayan Srinivasa, Rajeev Sharma:
  Efficient Learning of VAM-Based Representation of 3D Targets and its Active Vision Applications. 153-171
  
• Andrei Cimponeriu, Julien Gresser:
  Precision Requirements for Closed-Loop Kinematic Robotic Control Using Linear Local Mappings. 173-182
  

Volume 11, Number 2, March 1998

• Steven J. Olson, Stephen Grossberg:
  A neural network model for the development of simple and complex cell receptive fields within cortical maps of orientation and ocular dominance. 189-208
  
• Ken-ichi Funahashi:
  Multilayer neural networks and Bayes decision theory. 209-213
  
• Peter T. Szymanski, Michael D. Lemmon, Christopher J. Bett:
  Hybrid interior point training of modular neural networks. 215-234
  
• Doron Stein, Arie Feuer:
  Cubic approximation neural network for multivariate functions. 235-248
  
• Jun Nishii:
  A learning model for oscillatory networks. 249-257
  
• Lorenzo Vecci, Francesco Piazza, Aurelio Uncini:
  Learning and Approximation Capabilities of Adaptive Spline Activation Function Neural Networks. 259-270
  
• Naonori Ueda, Ryohei Nakano:
  Deterministic annealing EM algorithm. 271-282
  
• Sarunas Raudys:
  Evolution and generalization of a single neurone: I. Single-layer perceptron as seven statistical classifiers. 283-296
  
• Sarunas Raudys:
  Evolution and generalization of a single neurone: : II. Complexity of statistical classifiers and sample size considerations. 297-313
  
• C. N. S. Ganesh Murthy, Yedatore Venkatakrishnaiya Venkatesh:
  Encoded pattern classification using constructive learning algorithms based on learning vector quantization. 315-322
  
• Gail A. Carpenter, Natalya Markuzon:
  ARTMAP-IC and medical diagnosis: Instance counting and inconsistent cases. 323-336
  
• Jung-Hsien Chiang:
  A hybrid neural network model in handwritten word recognition. 337-346
  
• Hiroaki Kurokawa, Chun-ying Ho, Shinsaku Mori:
  The Neural Network Approach To A Parallel Decentralized Network Routing. 348-357
  
• Pedro Martín, José del R. Millán:
  Learning reaching strategies through reinforcement for a sensor-based manipulator. 359-376
  

Volume 11, Number 3, April 1998

• Tianping Chen, Shun-ichi Amari, Qin Lin:
  A unified algorithm for principal and minor components extraction. 385-390
  
• Francisco Javier González-Serrano, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez:
  Fourier analysis of the generalized CMAC neural network. 391-396
  
• Markus Lappe:
  A model of the combination of optic flow and extraretinal eye movement signals in primate extrastriate visual cortex: Neural model of self-motion from optic flow and extraretinal cues. 397-414
  
• Joël Pham, Khashayar Pakdaman, Jean Champagnat, Jean-François Vibert:
  Activity in sparsely connected excitatory neural networks: effect of connectivity. 415-434
  
• Kenji Okajima:
  The Gabor function extracts the maximum information from input local signals. 435-439
  
• Kenji Okajima:
  Two-dimensional Gabor-type receptive field as derived by mutual information maximization. 441-447
  
• Hung-Jen Chang, Walter J. Freeman, Brian C. Burke:
  Optimization of olfactory model in software to give 1/f power spectra reveals numerical instabilities in solutions governed by aperiodic (chaotic) attractors. 449-466
  
• Ethem Alpaydin:
  Soft vector quantization and the EM algorithm. 467-477
  
• Stephen A. Billings, Xia Hong:
  Dual-orthogonal radial basis function networks for nonlinear time series prediction. 479-493
  
• Eugene M. Izhikevich:
  Multiple cusp bifurcations. 495-508
  
• Khashayar Pakdaman, C. Grotta-Ragazzo, C. P. Malta, Ovide Arino, Jean-François Vibert:
  Effect of delay on the boundary of the basin of attraction in a system of two neurons. 509-519
  
• Emmanuel Daucé, Mathias Quoy, Bruno Cessac, Bernard Doyon, Manuel Samuelides:
  Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learning. 521-533
  
• Loo-Nin Teow, Kia-Fock Loe:
  Effective learning in recurrent max-min neural networks. 535-547
  
• Cathy M. Helgason, Thomas H. Jobe:
  The fuzzy cube and causal efficacy: representation of concomitant mechanisms in stroke. 549-555
  
• Po Ki Yuen, Haim H. Bau:
  Controlling chaotic convection using neural nets--theory and experiments. 557-569
  

Volume 11, Number 4, June 1998

• Philip T. Quinlan:
  Structural change and development in real and artificial neural networks. 577-599
  
• Francesco Palmieri, Michele Corvino:
  Self-association in multilayer linear networks with limited connectivity. 601-609
  
• Stefan Reimann:
  On the design of artificial auto-associative neuronal networks. 611-621
  
• Michael Egmont-Petersen, Jan L. Talmon, Arie Hasman, Anton W. Ambergen:
  Assessing the importance of features for multi-layer perceptrons. 623-635
  
• Alex J. Smola, Bernhard Schölkopf, Klaus-Robert Müller:
  The connection between regularization operators and support vector kernels. 637-649
  
• Vera Kurková, Petr Savický, Katerina Hlavácková-Schindler:
  Representations and rates of approximation of real-valued Boolean functions by neural networks. 651-659
  
• Robert M. Burton, Herold G. Dehling:
  Universal approximation in p-mean by neural networks. 661-667
  
• Leonard G. C. Hamey:
  XOR has no local minima: A case study in neural network error surface analysis. 669-681
  
• Ida G. Sprinkhuizen-Kuyper, Egbert J. W. Boers:
  The error surface of the 2-2-1 XOR network: The finite stationary points. 683-690
  
• Richard H. R. Hahnloser:
  On the piecewise analysis of networks of linear threshold neurons. 691-697
  
• Mario Ferraro, Terry Caelli:
  Neural computations of algebraic and geometrical structures. 699-707
  
• Sybert H. Stroeve:
  An analysis of learning control by backpropagation through time. 709-721
  
• Alan M. Parkinson, Dawood Y. Parpia:
  Intensity encoding in unsupervised neural nets. 723-730
  
• Jose Aguilar:
  Definition of an energy function for the random neural to solve optimization problems. 731-737
  
• Zheng Rong Yang, Sheng Chen:
  Robust maximum likelihood training of heteroscedastic probabilistic neural networks. 739-747
  
• Hubert Y. Chan, Stanislaw H. Zak:
  Real-time synthesis of sparsely interconnected neural associative memories. 749-759
  
• Lutz Prechelt:
  Automatic early stopping using cross validation: quantifying the criteria. 761-767
  
• Mohamad T. Musavi, Ronald J. Bryant, M. Qiao, Muriel T. Davisson, E. C. Akeson, B. D. French:
  Mouse chromosome classification by radial basis function network with fast orthogonal search. 769-777
  

Volume 11, Number 5, July 1998

• Andrew C. C. Cheng, Ling Guan:
  A combined evolution method for associative memory networks. 785-792
  
• Gail A. Carpenter, Boriana L. Milenova, Benjamin W. Noeske:
  Distributed ARTMAP: a neural network for fast distributed supervised learning. 793-813
  
• Antony Browne:
  Detecting systematic structure in distributed representations. 815-824
  
• Homayoun Navabi, Arun Agarwal:
  Adaptive response organizer network for space-time patterns in low level vision. 825-836
  
• David M. Weber, David Casasent:
  The extended piecewise quadratic neural network. 837-850
  
• Osamu Fujita:
  Statistical estimation of the number of hidden units for feedforward neural networks. 851-859
  
• Tsungnan Lin, Bill G. Horne, C. Lee Giles:
  How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies. 861-868
  
• Holger Bosch, Franz J. Kurfess:
  Information storage capacity of incompletely connected associative memories. 869-876
  
• Yee Leung, Tian-Xin Dong, Zongben Xu:
  The optimal encodings for biased association in linear associative memories. 877-884
  
• Bruno Apolloni, Giacomo Zamponi, Anna Maria Zanaboni:
  Learning fuzzy decision trees. 885-895
  
• David D. Vogel:
  Auto-associative memory produced by disinhibition in a sparsely connected network. 897-908
  
• Ralf Der, Darragh Smyth:
  Local online learning of coherent information. 909-925
  
• Ichiro Tsuda, Akihiro Yamaguchi:
  Singular-continuous nowhere-differentiable attractors in neural systems. 927-937
  
• Jun Wang, Guang Wu:
  A multilayer recurrent neural network for solving continuous-time algebraic Riccati equations. 939-950
  
• Alexander V. Goltsev, Donald C. Wunsch:
  Inhibitory connections in the assembly neural network for texture segmentation. 951-962
  
• Ales Leonardis, Horst Bischof:
  An efficient MDL-based construction of RBF networks. 963-973
  

Volume 11, Number 6, August 1998

• Tianping Chen:
  A unified approach for neural network-like approximation of non-linear functionals. 981-983
  
• Katsumi Tateno, Hatsuo Hayashi, Satoru Ishizuka:
  Complexity of spatiotemporal activity of a neural network model which depends on the degree of synchronization. 985-1003
  
• Thierry Wannier, Walter Senn:
  Recruitment of reticulospinal neurones and steady locomotion in lamprey. 1005-1015
  
• Hugues Bersini:
  The frustrated and compositional nature of chaos in small Hopfield networks. 1017-1025
  
• Mitra Basu, Quan Liang:
  The fractional correction rule: a new perspective. 1027-1039
  
• Burkhard Lenze:
  Complexity preserving increase of the capacity of bidirectional associative memories by dilation and translation. 1041-1048
  
• Shin Suzuki:
  Constructive function-approximation by three-layer artificial neural networks. 1049-1058
  
• Yutaka Fukuoka, Hideo Matsuki, Haruyuki Minamitani, Akimasa Ishida:
  A modified back-propagation method to avoid false local minima. 1059-1072
  
• Shin Ishii, Masa-aki Sato:
  Constrained neural approaches to quadratic assignment problems. 1073-1082
  
• Youngsik Kim, Mi-Jung Noh, Tack-Don Han, Shin-Dug Kim:
  Mapping of neural networks onto the memory-processor integrated architecture. 1083-1098
  
• Jesús M. Zamarreño Cosme, Pastora Vega:
  State space neural network. Properties and application. 1099-1112
  
• Hahn-Ming Lee, Kuo-Hsiu Chen, I-Feng Jiang:
  A neural network classifier with disjunctive fuzzy information. 1113-1125
  
• Amit Gupta, Siuwa M. Lam:
  Weight decay backpropagation for noisy data. 1127-1138
  
• Elias B. Kosmatopoulos, Manolis A. Christodoulou, Petros A. Ioannou:
  Correction on 'Dynamical neural networks that ensure exponential identification error convergence'. 1139-1140
  

Volume 11, Number 7-8, October 1998

• Vladimir Brajovic, Ryohei Miyagawa, Takeo Kanade:
  Temporal photoreception for adaptive dynamic range image sensing and encoding. 1149-1158
  
• Gregory Gancarz, Stephen Grossberg:
  A neural model of the saccade generator in the reticular formation. 1159-1174
  
• Philippe Lefèvre, Christian Quaia, Lance M. Optican:
  Distributed model of control of saccades by superior colliculus and cerebellum. 1175-1190
  
• Francesco Panerai, Giulio Sandini:
  Oculo-motor stabilization reflexes: integration of inertial and visual information. 1191-1204
  
• Paul Dean, John Porrill:
  Pseudo-inverse control in biological systems: a learning mechanism for fixation stability. 1205-1218
  
• Michael G. Paulin:
  A method for analysing neural computation using receptive fields in state space. 1219-1228
  
• Christian Quaia, Lance M. Optican, Michael E. Goldberg:
  The maintenance of spatial accuracy by the perisaccadic remapping of visual receptive fields. 1229-1240
  
• Jeffrey D. Schall, Doug P. Hanes:
  Neural mechanisms of selection and control of visually guided eye movements. 1241-1251
  
• H. Sebastian Seung:
  Continuous attractors and oculomotor control. 1253-1258
  
• Yasuo Kuniyoshi, Luc Berthouze:
  Neural learning of embodied interaction dynamics. 1259-1276
  
• Andrew H. Fagg, Michael A. Arbib:
  Modeling parietal-premotor interactions in primate control of grasping. 1277-1303
  
• Jacob J. van Heijst, Johan E. Vos, Daniel Bullock:
  Development in a biologically inspired spinal neural network for movement control. 1305-1316
  
• Daniel M. Wolpert, Mitsuo Kawato:
  Multiple paired forward and inverse models for motor control. 1317-1329
  
• Hiroyuki Miyamoto, Mitsuo Kawato:
  A tennis serve and upswing learning robot based on bi-directional theory. 1331-1344
  
• Joseph A. Doeringer, Neville Hogan:
  Serial processing in human movement production. 1345-1356
  
• Heidar A. Talebi, Khashayar Khorasani, Rajnikant V. Patel:
  Neural network based control schemes for flexible-link manipulators: simulations and experiments. 1357-1377
  
• Matthew M. Williamson:
  Neural control of rhythmic arm movements. 1379-1394
  
• Jean-Luc Buessler, Jean-Philippe Urban:
  Visually guided movements: learning with modular neural maps in robotics. 1395-1415
  
• Pietro G. Morasso, Vittorio Sanguineti, Francesco Frisone, Luca Perico:
  Coordinate-free sensorimotor processing: computing with population codes. 1417-1428
  
• Björn O. Peters, Gert Pfurtscheller, Henrik Flyvbjerg:
  Mining multi-channel EEG for its information content: an ANN-based method for a brain-computer interface. 1429-1433
  
• Holk Cruse, Thomas Kindermann, Michael Schumm, Jeffrey Dean, Josef Schmitz:
  Walknet--a biologically inspired network to control six-legged walking. 1435-1447
  
• Gennady S. Cymbalyuk, Roman Borisyuk, Uwe Müller-Wilm, Holk Cruse:
  Oscillatory network controlling six-legged locomotion: Optimization of model parameters. 1449-1460
  
• Dario Floreano, Francesco Mondada:
  Evolutionary neurocontrollers for autonomous mobile robots. 1461-1478
  
• Barbara Webb:
  Robots, crickets and ants: models of neural control of chemotaxis and phonotaxis. 1479-1496
  
• Terrance L. Huntsberger, John Rose:
  BISMARC: a biologically inspired system for map-based autonomous rover control. 1497-1510
  
• Juyang Weng, Shaoyun Chen:
  Vision-guided navigation using SHOSLIF. 1511-1529
  
• Paul F. M. J. Verschure, Thomas Voegtlin:
  A bottom up approach towards the acquisition and expression of sequential representations applied to a behaving real-world device: Distributed Adaptive Control III. 1531-1549
  
• Christian Scheier, Rolf Pfeifer, Yasuo Kuniyoshi:
  Embedded neural networks: exploiting constraints. 1551-1569
  

Volume 11, Number 9, December 1998

• Mohamed Tajine, David A. Elizondo:
  The recursive deterministic perceptron neural network. 1571-1588
  
• Masahiro Kimura, Ryohei Nakano:
  Learning dynamical systems by recurrent neural networks from orbits. 1589-1599
  
• Jinde Cao, Dongming Zhou:
  Stability analysis of delayed cellular neural networks. 1601-1605
  
• Yi-Jen Wang, Chin-Teng Lin:
  A second-order learning algorithm for multilayer networks based on block Hessian matrix. 1607-1622
  
• Donq-Liang Lee, Wen-June Wang:
  A multivalued bidirectional associative memory operating on a complex domain. 1623-1635
  
• Ali A. Sadeghi:
  Self-organization property of Kohonen's map with general type of stimuli distribution. 1637-1643
  
• Guoping Liu, Visakan Kadirkamanathan, Stephen A. Billings:
  On-line identification of nonlinear systems using Volterra polynomial basis function neural networks. 1645-1657
  
• Mads Hintz-Madsen, Lars Kai Hansen, Jan Larsen, Morten With Pedersen, Michael Larsen:
  Neural classifier construction using regularization, pruning and test error estimation. 1659-1670
  
• Cevdet Aykanat, Tevfik Bultan, Ismail Haritaoglu:
  A fast neural-network algorithm for VLSI cell placement. 1671-1684
  
• David McLean, Zuhair Bandar, James O'Shea:
  An empirical comparison of back propagation and the RDSE algorithm on continuously valued real world data. 1685-1694
  
• M. S. Ahmed, M. A. Al-Dajani:
  Neural regulator design. 1695-1709
  

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