CMAC neural networks structures
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
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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.