Разработка архитектуры и алгоритмов функционирования нейросетевой памяти с возможностью коррекции результатов

Abstract

On the basis of associative memory proposed architecture and algorithms of discrete multilayer bidirectional associative memory neural networks with control neurons, which is capable of reducing the input of the information supplied on any of its two input layers of neurons, the chain of associations and adjust the results with the control neurons.