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1 July 1992 Mathematical model of neural learning
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Abstract
A generalized unified mathematical model of neural learning is proposed. A learning potential function is defined. A broad class of problems which are related to neural learning are examined. Differential inclusions for finding the minimum of the learning potential functions are derived. The general convergence theorem of optimal solutions are proved and its applications to the supervised learning, unsupervised learning, and Hopfield neural networks are investigated.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Momaio Xiong and Ping Wang "Mathematical model of neural learning", Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); https://doi.org/10.1117/12.140153
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