A CMAC-type neural memory for control applications

Abstract

CMAC is one of the first neural networks successfully applied to real world control problems. Its ability to locally "generalize" an input/output behaviour based on a non-linear input point processing and a linear algorithm for modifying internal states provides fast convergence to an implicit model. In this paper CMAC is shown in its basic functionality. Guidelines for a CMAC hardware realization are discussed, as they were used for the implementation of an ASIC, which now is available in a first version.