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ORCIDNeurocomputing, 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
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