Нейронные сети Хемминга и Хебба, способные дообучаться

Abstract

For the first time architectures and algorithms of the discrete stable and plastic neural networks based on neural networks Hemming and Hebb are proposed. And these algorithms and architectures can not only to learn, but also to recognize new information. New networks can be an alternative to discrete neural network adaptive resonance theory