Neurocomputing, Volume 19

Volume 19, Number 1-3, April 1998

• Seongwon Cho, Jinwuk Seok:
  Self-organizing map with time-invariant learning rate and its exponential stability analysis. 1-11
  
• Youshen Xia, Jun Wang:
  Neural networks for solving least absolute and related problems. 13-21
  
• Antony Browne:
  Performing a symbolic inference step on distributed representations. 23-34
  
• Arun K. Jagota, Giri Narasimhan, Kenneth W. Regan:
  Information capacity of binary weights associative memories. 35-58
  
• Keiichi Yoshino, Hirokazu Yokoi:
  A basic study on a learning motor vehicle using basic elements for neural computer, continuous-time Folthrets. 59-76
  
• Valeriu Beiu:
  On the circuit and VLSI complexity of threshold gate COMPARISON. 77-98
  
• Motonobu Hattori, Masafumi Hagiwara:
  Multimodule associative memory for many-to-many associations. 99-119
  
• Pietro Burrascano, Massimo Battisti, Dario Pirollo:
  Finite sample size and neural model uncertainty. 121-131
  
• Yi Sun:
  A generalized updating rule for modified Hopfield neural network for quadratic optimization. 133-143
  
• Raouf N. Gorgui-Naguib, Freddie C. Hamdy:
  A general regression neural network analysis of prognostic markers in prostate cancer. 145-150
  
• Donald K. Wedding II, Krzysztof J. Cios:
  Certainty factors versus Parzen windows as reliability measures in RBF networks. 151-165
  
• Michael R. Berthold, Jay Diamond:
  Constructive training of probabilistic neural networks. 167-183
  
• Joaquin Sitte, Tim Körner, Ulrich Rückert:
  Local cluster neural net analog VLSI design. 185-197
  
• David Lowe:
  Characterising complexity by the degrees of freedom in a radial basis function network. 199-209
  
• Michael E. Tipping, David Lowe:
  Shadow targets: A novel algorithm for topographic projections by radial basis functions. 211-222
  
• Lei Xu:
  RBF nets, mixture experts, and Bayesian Ying-Yang learning. 223-257
  
• N. Alberto Borghese, Stefano Ferrari:
  Hierarchical RBF networks and local parameters estimate. 259-283