The recalling process dynamics of associative memory neural networks in macrodynamical approach

✍ Scribed by Margarita G. Kuzmina

• Publisher: Elsevier Science
• Year: 1995
• Tongue: English
• Weight: 472 KB
• Volume: 8
• Category: Article
• ISSN: 0893-6080
• DOI: 10.1016/0893-6080(95)00006-2

✦ Synopsis

The results of a computer study of the continuous-time version of macrodynamical system of equations governing the recalling process of associative memory neural networks are presented. The comparative analysis of two models of associative memory network--recurrent (autoassociative) and layered (feedforward)--is given. The phase portraits of macrodynamical system at a variety of representative values of parameter a, the loading ratio, are obtained and the appearance of the bifurcation of equilibrium frustration (the saddle-node bifurcation) is demonstrated. The behavior of the basins of attraction of network dynamics equilibria is studied as well.