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Mathematical analysis of neural networks used in the solution of set selection problems

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1 Author(s)
C. Jeffries ; Dept. of Math. Sci., Clemson Univ., SC, USA

The generalized neural network model of M. Cohen and S. Grossberg (1983) has been studied by many authors using Lyapunov-type functions. As an alternative, the author treats closely related dynamical systems (the gain functions are piecewise linear) with other dynamical-systems-theory machinery. It is shown that, by using a certain perturbation scheme, one can use such models with piecewise linear gain functions to solve a variety of set selection problems

Published in:

Intelligent Control, 1988. Proceedings., IEEE International Symposium on

Date of Conference:

24-26 Aug 1988