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Proceedings Paper

Monte Carlo learning algorithm for clipped neural networks
Author(s): Wuqun Huang; YanXin Zhang
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Paper Abstract

A novel Monte Carlo learning algorithm for a nonlinear neural network model with clipped synapses has been proposed. Computer simulation has shown that the storage capacity ot can be improved after the learning process by factors of 1. 2 to 2. 5 and the add-. ressability of noise tolerance is enhanced as well. 1.

Paper Details

Date Published: 1 August 1990
PDF: 5 pages
Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); doi: 10.1117/12.21212
Show Author Affiliations
Wuqun Huang, Nankai Univ. (China)
YanXin Zhang, Nankai Univ. (China)


Published in SPIE Proceedings Vol. 1294:
Applications of Artificial Neural Networks
Steven K. Rogers, Editor(s)

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