The estimation of cross-coupled Hopfield nets as an interactive modular neural network
Seiichi Ozawa, K. Tsutsumi, N. Baba · 2002
This paper describes the effects on the association performance of cross-coupled Hopfield nets (CCHN) due to the increase in the number of modules M, in order to clarify the usefulness as an interactive modular neural network. The association performance of a cross-coupled Hopfield net with many-to-many mapping internetworks (CCHN-MMMI), which is an extended version of CCHN is investigated through computer simulations. The simulation results show that the performance of CCHN-MMMI is greatly improved as compared with that of a conventional Hopfield network (HN) as long as M is not too large. However, in our simulation, the performance of CCHN-MMMI with M/spl ges/16 is worse than or equal to that of HN. In order to clarify the factors on its performance deterioration, the features-of average activities in modules and interactions are separately investigated. As a result, we clarify three factors on the deterioration and suggest some approaches to solve them.>