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Neurocomputing, Volume 48
Volume 48, Number 1-4, October 2002
- Michel Verleysen, Joos Vandewalle:
Special issue on fundamental and information processing aspects of neurocomputing. 1-2 - Gaetano Liborio Aiello:
Diffusive neural network. 3-15 - Sander M. Bohté, Joost N. Kok, Johannes A. La Poutré:
Error-backpropagation in temporally encoded networks of spiking neurons. 17-37 - Jochen J. Steil:
Local stability of recurrent networks with time-varying weights and inputs. 39-51 - Zalán Heszberger, József Bíró:
An optimization neural network model with time-dependent and lossy dynamics. 53-62 - Colin Campbell:
Kernel methods: a survey of current techniques. 63-84 - Johan A. K. Suykens
, Jos De Brabanter, Lukas Lukas, Joos Vandewalle:
Weighted least squares support vector machines: robustness and sparse approximation. 85-105 - Axel Wismüller, Frank Vietze, Dominik R. Dersch, Johannes Behrends, Klaus Hahn, Helge J. Ritter:
The deformable feature map - a novel neurocomputing algorithm for adaptive plasticity in pattern analysis. 107-139 - Ping Jiang, Rolf Unbehauen:
Iterative learning neural network control for nonlinear system trajectory tracking. 141-153 - Joaquín Pizarro Junquera
Multiple comparison procedures applied to model selection. 155-173 - Riadh Kallel, Marie Cottrell, Vincent Vigneron
Bootstrap for neural model selection. 175-183 - Mark A. Girolami
Latent variable models for the topographic organisation of discrete and strictly positive data. 185-198 - Michael Dittenbach, Andreas Rauber, Dieter Merkl:
Uncovering hierarchical structure in data using the growing hierarchical self-organizing map. 199-216 - Timo Kostiainen, Jouko Lampinen:
On the generative probability density model in the self-organizing map. 217-228 - Thomas Villmann:
Neural maps for faithful data modelling in medicine - state-of-the-art and exemplary applications. 229-250 - Romuald Boné, Michel Crucianu, Jean Pierre Asselin de Beauville:
Learning long-term dependencies by the selective addition of time-delayed connections to recurrent neural networks. 251-266 - Skander Soltani:
On the use of the wavelet decomposition for time series prediction. 267-277 - James McNames:
Local averaging optimization for chaotic time series prediction. 279-297 - Amaury Lendasse
Forecasting electricity consumption using nonlinear projection and self-organizing maps. 299-311 - Winfried A. Fellenz, John G. Taylor:
Establishing retinotopy by lateral-inhibition type homogeneous neural fields. 313-322 - Francesco Panerai, Giorgio Metta, Giulio Sandini:
Learning visual stabilization reflexes in robots with moving eyes. 323-337 - Jordi Solé i Casals
Parametric approach to blind deconvolution of nonlinear channels. 339-355 - Tim W. Nattkemper
A neural network architecture for automatic segmentation of fluorescence micrographs. 357-367 - Jiongtao Huang, Masafumi Hagiwara:
A combined multi-winner multidirectional associative memory. 369-389 - Burkhard Lenze
On a perceptron-type learning rule for higher order Hopfield neural networks including dilation and translation. 391-401 - Faa-Jeng Lin
Hybrid computed torque controlled motor-toggle servomechanism using fuzzy neural network uncertainty observer. 403-422 - Perambur S. Neelakanta, Apiruk Preechayasomboon:
Development of a neuroinference engine for ADSL modem applications in telecommunications using an ANN with fast computational ability. 423-441 - Ashraf M. Abdelbar, Sahar Attia, Gene A. Tagliarini:
A hybridization of Bayesian and neural learning. 443-453 - Dan Simon:
Training radial basis neural networks with the extended Kalman filter. 455-475 - Derong Liu
N-bit parity neural networks: new solutions based on linear programming. 477-488 - Carl G. Looney:
Radial basis functional link nets and fuzzy reasoning. 489-509 - Sergio Bermejo, Joan Cabestany
The effect of finite sample size on on-line K-means. 511-539 - Wei-Der Chang, Rey-Chue Hwang, Jer-Guang Hsieh:
Stable direct adaptive neural controller of nonlinear systems based on single auto-tuning neuron. 541-554 - Regina Célia Coelho
Realistic neuromorphic models and their application to neural reorganization simulations. 555-571 - Jani J. T. Lahnajärvi, Mikko Lehtokangas, Jukka Saarinen:
Evaluation of constructive neural networks with cascaded architectures. 573-607 - Iulian B. Ciocoiu
RBF networks training using a dual extended Kalman filter. 609-622 - Giorgio Valentini
NEURObjects: an object-oriented library for neural network development. 623-646 - Martin Schäfer, Tim Schönauer, Carsten Wolff
Simulation of spiking neural networks -- architectures and implementations. 647-679 - Jinhua Xu, Daniel W. C. Ho
A basis selection algorithm for wavelet neural networks. 681-689 - P. Thangavel
Training feedforward networks using simultaneous perturbation with dynamic tunneling. 691-704 - Ryotaro Kamimura:
Controlling internal representations by structural information. 705-725 - Carlos Javier Mantas, José Miguel Mantas Ruiz
A procedure for improving generalization in classification trees. 727-740 - Andrzej Wichert
Learning of associative prediction by experience. 741-762 - Simone G. O. Fiori
Blind deconvolution by simple adaptive activation function neuron. 763-778 - Enrico Capobianco:
Independent component analysis and resolution pursuit with wavelet and cosine packets. 779-806 - Yat-Fung Yam, Chi-Tat Leung, Peter Kwong-Shun Tam, Wan-Chi Siu:
An independent component analysis based weight initialization method for multilayer perceptrons. 807-818 - Victoria J. Hodge
Hierarchical word clustering - automatic thesaurus generation. 819-846 - Francis Eng Hock Tay, Lijuan Cao:
Modified support vector machines in financial time series forecasting. 847-861 - Yi-Chung Hu, Ruey-Shun Chen, Yen-Tseng Hsu, Gwo-Hshiung Tzeng
Grey self-organizing feature maps. 863-877 - Serge N. Demidenko
Concurrent diagnosis in digital implementations of neural networks. 879-903 - Dean K. McNeill, Howard C. Card:
Dynamic range and error tolerance of stochastic neural rate codes. 905-917 - Yuan Tian, Jie Zhang
Optimal control of a fed-batch bioreactor based upon an augmented recurrent neural network model. 919-936 - Katsuyuki Hagiwara:
Regularization learning, early stopping and biased estimator. 937-955 - Mohammad Reza Meybodi, Hamid Beigy
A note on learning automata-based schemes for adaptation of BP parameters. 957-974 - Vicente Ruiz de Angulo, Carme Torras
A deterministic algorithm that emulates learning with random weights. 975-1002 - Henry C. Tuckwell, Frederic Y. M. Wan, Roger Rodriguez:
Analytical determination of firing times in stochastic nonlinear neural models. 1003-1007 - In-Cheol Kim, Sung-Il Chien:
Speed-up of error backpropagation algorithm with class-selective relevance. 1009-1014 - Harold Szu, Pornchai Chanyagorn, Ivica Kopriva:
Sparse coding blind source separation through Powerl. 1015-1020 - Rong Long Wang, Zheng Tang, Qi Ping Cao:
A learning method in Hopfield neural network for combinatorial optimization problem. 1021-1024 - Gavin C. Cawley, Nicola L. C. Talbot:
Improved sparse least-squares support vector machines. 1025-1031 - Paulo J. G. Lisboa, Terence A. Etchells, Dave C. Pountney:
Minimal MLPs do not model the XOR logic. 1033-1037 - Hazem M. El-Bakry
Face detection using fast neural networks and image decomposition. 1039-1046 - Huafu Chen, Dezhong Yao, Lin Chen:
A new method for detecting brain activities from fMRI dataset. 1047-1052 - M. Z. Arslanov, D. U. Ashigaliev, E. E. Ismail:
N-bit parity ordered neural networks. 1053-1056 - James M. Hogan:
Advanced mean field methods: theory and practice: M. Opper and D. Saad (Eds.); MIT Press, Cambridge, MA, 2001, 300pp. ISBN 0-262-15054-9. 1057-1060
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