A new neural network structure composed of small CMACs
Chun-Shin Lin, Chien-Kuo Li · 2002
A new neural network structure that consists of several small CMACs is proposed. The structure is a memory based neural network. While the memory cost has been reduced and the memory technology has improved in the past decade, practical implementation of the proposed structure is inexpensive. The new structure overcomes the huge memory size problem, which exists in the conventional CMAC in high-dimensional modeling. The new neural network will be able to better utilize the memory in learning all kinds of mapping.