Hierarchical Clustering for Efficient Memory Allocation in CMAC Neural Network

Abstract

CMAC Neural Network is a popular choice for control applications. One of the main problems with CMAC is that the memory needed for the network grows exponentially with each addition of input variable. In this paper, we present a new CMAC architecture with more effective allocation of the available memory space. The proposed architecture employs hierarchical… (More)
DOI: 10.1007/11550907_74

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