Algorithm Development For Neural Networks
Edward W. Page, Gene A. Tagliarini · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1988
This paper is concerned with the development of algorithms for solving optimization problems with a network of artificial neurons. Although there is no notion of step-by-step sequencing in a neural network, it is possible to develop tools and techniques for interconnecting a network of neurons so that it will achieve stable states corresponding to possible solutions of a problem. An approach to implementing an important class of constraints in a network of artificial neurons is presented and illustrated by developing a solution to a resource allocation problem.