Neurocomputing, Volume 63

Volume 63, January 2005

• Marie Cottrell, Barbara Hammer, Thomas Villmann:
  New Aspects in Neurocomputing. 1-3
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• Ulf D. Schiller, Jochen J. Steil:
  Analyzing the weight dynamics of recurrent learning algorithms. 5-23
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• Edouard Leclercq, Fabrice Druaux, Dimitri Lefebvre, Salem Zerkaoui:
  Autonomous learning algorithm for fully connected recurrent networks. 25-44
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• Brijnesh J. Jain, Fritz Wysotzki:
  Solving inexact graph isomorphism problems using neural networks. 45-67
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• Marc Strickert, Barbara Hammer, Sebastian Blohm:
  Unsupervised recursive sequence processing. 69-97
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• Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse:
  Self-organizing mixture models. 99-123
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• Jens Christian Claussen, Thomas Villmann:
  Magnification control in winner relaxing neural gas. 125-137
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• Michaël Aupetit, Thibaud Catz:
  High-dimensional labeled data analysis with topology representing graphs. 139-169
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• Manuel Martín-Merino, Alberto Muñoz:
  Visualizing asymmetric proximities with SOM and MDS models. 171-192
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• Marie Cottrell, Patrick Letrémy:
  How to use the Kohonen algorithm to simultaneously analyze individuals and modalities in a survey. 193-207
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• Yoshifusa Ito, Cidambi Srinivasan:
  Bayesian decision theory on three-layer neural networks. 209-228
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• Bruno Scherrer:
  Asynchronous neurocomputing for optimal control and reinforcement learning with large state spaces. 229-251
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• Wako Yoshida, Shin Ishii:
  Model-based reinforcement learning: a computational model and an fMRI study. 253-269
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• Kai Gersmann, Barbara Hammer:
  Improving iterative repair strategies for scheduling with the SVM. 271-292
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• Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor:
  Subset based least squares subspace regression in RKHS. 293-323
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• D. Huang, Tommy W. S. Chow:
  Effective feature selection scheme using mutual information. 325-343
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• Wen-Jyi Hwang, Chien-Min Ou, Chin-Ming Yeh:
  Genetic channel-optimized vector quantizer design for burst error channels. 345-357
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• Urszula Markowska-Kaczmar, Wojciech Trelak:
  Fuzzy logic and evolutionary algorithm - two techniques in rule extraction from neural networks. 359-379
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• Biswanath Bhattacharya, Dimitri P. Solomatine:
  Neural networks and M5 model trees in modelling water level-discharge relationship. 381-396
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• M. Ghiassi, H. Saidane:
  A dynamic architecture for artificial neural networks. 397-413
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• Richard T. Freeman, Hujun Yin:
  Tree view self-organisation of web content. 415-446
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• Larry M. Manevitz, Akram Bitar, Dan Givoli:
  Neural network time series forecasting of finite-element mesh adaptation. 447-463
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• Ghassan Gholmieh, Spiros Courellis, Vasilis Z. Marmarelis, Theodore W. Berger:
  Detecting CA1 short-term plasticity variations associated with changes in stimulus intensity and extracellular medium composition. 465-481
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• Frauke Friedrichs, Michael Schmitt:
  On the power of Boolean computations in generalized RBF neural networks. 483-498
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• J. Hegdé, D. J. Felleman:
  Modeling the observed center-surround summation in macaque visual area V1. 499-525
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• Yi Da, Ge Xiurun:
  An improved PSO-based ANN with simulated annealing technique. 527-533
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• Alberto Bertoni, Raffaella Folgieri, Giorgio Valentini:
  Bio-molecular cancer prediction with random subspace ensembles of support vector machines. 535-539
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