Association performance of cross-coupled Hopfield nets for correlated patterns

Author

Ozawa, S. ; Tsutsumi, K.

Author_Institution

Dept. of Arts & Sci., Osaka Kyoiku Univ., Ikeda, Japan

Volume

3

fYear

1993

fDate

25-29 Oct. 1993

Firstpage

2335

Abstract

This paper describes the improvement on the association dynamics of cross-coupled Hopfield nets with many-to-many mapping internetworks (CCHN-MMMI) for correlated patterns. CCHN-MMMI is composed of plural Hopfield-type neural networks which are mutually connected via multilayered networks (internetworks). The association performance of CCHN-MMMI is evaluated for correlated pattern sets through the computer simulations. The simulation results show that the storage capacity of CCHN-MMMI greatly increases as compared with that of Hopfield-type associative memory with pseudo-inverse matrix of weights. Especially, CCHN-MMMI with nonlinear mapping internetworks has useful characteristics for the memory and the retrieval of correlated patterns.

Keywords

Hopfield neural nets; associative processing; content-addressable storage; feedforward neural nets; pattern classification; association dynamics; associative memory; correlated patterns; cross-coupled Hopfield nets; many-to-many mapping internetworks; multilayered networks; nonlinear mapping internetworks; storage capacity; Art; Associative memory; Autocorrelation; Computer simulation; Equations; Hopfield neural networks; IP networks; Internet; Multi-layer neural network; Neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on

Print_ISBN

0-7803-1421-2

Type

conf

DOI

10.1109/IJCNN.1993.714193

Filename

714193