Liu Rong. An Neural Back-propagation System Based on Generalized Operator Theory[J]. Journal of University of Electronic Science and Technology of China, 1999, 28(5): 540-542.
Citation:
Liu Rong. An Neural Back-propagation System Based on Generalized Operator Theory[J]. Journal of University of Electronic Science and Technology of China, 1999, 28(5): 540-542.
Liu Rong. An Neural Back-propagation System Based on Generalized Operator Theory[J]. Journal of University of Electronic Science and Technology of China, 1999, 28(5): 540-542.
Citation:
Liu Rong. An Neural Back-propagation System Based on Generalized Operator Theory[J]. Journal of University of Electronic Science and Technology of China, 1999, 28(5): 540-542.
An Neural Back-propagation System Based on Generalized Operator Theory
This paper discusses the base principle of function network model on neural network system and proposes an back-propagation function network model base on M-P in application of Hebb learning rule. The formula of hide node and node output are derived, are the errors are estimated. The model can transform nonlinear hide node to linear of (O-1) set. Finally, an example testing system is given.
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