71192

Автор(ы): 

Максимов Д. Ю. (ИПУ РАН, Лаборатория 11)

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Доклад

Название: 

The Problem of Forming a Training Set for Multi-Valued Associative Memory Used in Trajectory Classification Depending on Linguistic Information about the Flight Situation

Электронная публикация: 

Да

ISBN/ISSN: 

ISBN:978-1-6654-9701-5

DOI: 

10.1109/MLSD55143.2022.9934561

Наименование конференции: 

  • 2022 15th International Conference Management of large-scale system development (MLSD)

Наименование источника: 

  • Proceedings of the 15th International Conference Management of Large-Scale System Development (MLSD)

Город: 

  • Conference Location: Moscow, Russia, Russia

Издательство: 

  • IEEE

Год издания: 

2022

Страницы: 

1-6 https://ieeexplore.ieee.org/document/9934561
Аннотация
The problem of forming a training set for a multi-valued associative memory is considered. The concept of multi-valued associative memory is a new one; it generalizes a similar notion in fuzzy neural networks. In multi-valued associative memory, both inputs and outputs and weights are elements or subsets of a lattice of linguistic variables. A multi-valued associative memory is used to decide on the aircraft control mode.

Библиографическая ссылка: 

Максимов Д.Ю. The Problem of Forming a Training Set for Multi-Valued Associative Memory Used in Trajectory Classification Depending on Linguistic Information about the Flight Situation / Proceedings of the 15th International Conference Management of Large-Scale System Development (MLSD). Conference Location: Moscow, Russia, Russia: IEEE, 2022. С. 1-6 https://ieeexplore.ieee.org/document/9934561.