Neuro-fuzzy modeling of active dynamic systems
- 1 д.т.н., профессор, заслуж. деятель науки РФ, академик РАЕН, вед. науч. сотрудник, НИИ наукоемких компьютерных технологий, Санкт-Петербургский национальный исследовательский университет информационных технологий, механики и оптики
Abstract
The problem neuro-fuzzy modeling of active dynamic systems in the multiprocessor computing environment is considered. The analysis is spent with reference to the system of multimode control, characterizing behavior of ships of active ice swimming. Models of interaction and conceptual decisions are based on theoretical principles of the dynamic theory of catastrophe.
How to cite
Нечаев Ю.И. Нейронечеткое моделирование активных динамических систем // Нейрокомпьютеры: разработка, применение. 2018. № 1. С. 3–12.
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