SIGNAL PROCESSING IN NEURON-LIKE NETWORKS WITH DYNAMIC CHAOTIC STATE

Abstract

The aim is to develop the methods for signal recording and processing in the neuron-like networks with complex dynamics. The models of electronic neuron-like networks with complex dynamics have been developed and investigated. The principles of information recording on the attractors of neuron-like systems have been proposed. The program complex realizing the associative memory for the text information has been created. Application field: recording, storage and processing of informationAvailable from VNTIC / VNTIC - Scientific & Technical Information Centre of RussiaSIGLERURussian Federatio