Основные структуры данных на базе ассоциативных нейронных сетей

Abstract

Without basic data structures: lists, stores, queues, trees, etc., the development of efficient algorithms is impossible. However, when modeling a number of technological processes (for example, blade metal processing), ordinary data structures do not correspond to these processes sufficiently and therefore become ineffective. In this regard, a new data structure based on associative neural networks, which makes it possible to more effectively model technological processes of blade metal processing, is proposed.