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1 August 1990 Monte Carlo learning algorithm for clipped neural networks
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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.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wuqun Huang and YanXin Zhang "Monte Carlo learning algorithm for clipped neural networks", Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); https://doi.org/10.1117/12.21212
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