Polynomial-Computable Representation of Neural Networks in Semantic Programming Научная публикация
| Журнал |
J — Multidisciplinary Scientific Journal
ISSN: 2571-8800 |
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| Вых. Данные | Год: 2023, Том: 6, Номер: 1, Страницы: 48-57 Страниц : 10 DOI: 10.3390/j6010004 | ||
| Ключевые слова | polynomiality; polynomial algorithm; logical programming language; semantic programming; AI; neural networks; machine learning | ||
| Авторы |
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| Организации |
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Информация о финансировании (1)
| 1 | Институт математики им. С.Л. Соболева СО РАН | FWNF-2022-0011 |
Реферат:
A lot of libraries for neural networks are written for Turing-complete programming languages such as Python, C++, PHP, and Java. However, at the moment, there are no suitable libraries implemented for a p-complete logical programming language L. This paper investigates the issues of polynomial-computable representation neural networks for this language, where the basic elements are hereditarily finite list elements, and programs are defined using special terms and formulas of mathematical logic. Such a representation has been shown to exist for multilayer feedforward fully connected neural networks with sigmoidal activation functions. To prove this fact, special p-iterative terms are constructed that simulate the operation of a neural network. This result plays an important role in the application of the p-complete logical programming language L to artificial intelligence algorithms.
Библиографическая ссылка:
Goncharov S.
, Nechesov A.
Polynomial-Computable Representation of Neural Networks in Semantic Programming
J — Multidisciplinary Scientific Journal. 2023. V.6. N1. P.48-57. DOI: 10.3390/j6010004 РИНЦ OpenAlex
Polynomial-Computable Representation of Neural Networks in Semantic Programming
J — Multidisciplinary Scientific Journal. 2023. V.6. N1. P.48-57. DOI: 10.3390/j6010004 РИНЦ OpenAlex
Даты:
| Поступила в редакцию: | 17 нояб. 2022 г. |
| Принята к публикации: | 4 янв. 2023 г. |
| Опубликована в печати: | 6 янв. 2023 г. |
| Опубликована online: | 6 янв. 2023 г. |
Идентификаторы БД:
| РИНЦ: | 60898111 |
| OpenAlex: | W4313829103 |
Цитирование в БД:
| БД | Цитирований |
|---|---|
| OpenAlex | 5 |