Neural networks with chaotic recursive nodes: techniques for the design of associative memories, contrast with Hopfield architectures, and extensions for time-dependent inputs

Abstract

This paper addresses the coding and storage of information in neural architectures with bifurcating recursive nodes that exhibit chaotic dynamics. It describes architectures of coupled recursive processing elements (RPEs) used to store binary strings, discusses the choices of network parameters related to the coding of zeros and ones, and analyzes several… (More)
DOI: 10.1016/S0893-6080(03)00125-4

Topics

Figures and Tables

Sorry, we couldn't extract any figures or tables for this paper.