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ORCIDNeurocomputing, Volume 29
Volume 29, Number 1-3, November 1999
- André Elisseeff, Hélène Paugam-Moisy:
JNN, a randomized algorithm for training multilayer networks in polynomial time. 3-24 - Max H. Garzon, Fernanda Botelho:
Dynamical approximation by recurrent neural networks. 25-46 - Paul C. Kainen, Vera Kurková
, Andrew Vogt:
Approximation by neural networks is not continuous. 47-56 - Aleksander Kolcz, Nigel M. Allinson:
The general memory neural network and its relationship with basis function architectures. 57-84 - Sethu Vijayakumar, Hidemitsu Ogawa:
RKHS-based functional analysis for exact incremental learning. 85-113 - Nageswara S. V. Rao:
Simple sample bound for feedforward sigmoid networks with bounded weights. 115-122
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