| dc.contributor.author | Golovko, Vladimir Adamovich | |
| dc.contributor.author | Kroshchanka, Alexander Alexsandrovich | |
| dc.contributor.author | Golenkov, Vladimir Vasilyevich | |
| dc.contributor.author | Ivashenko, Valerian Petrovich | |
| dc.contributor.author | Kovalev, Mikhail Vladimirovich | |
| dc.contributor.author | Taberko, Valery Vasilyevich | |
| dc.contributor.author | Ivaniuk, Dzmitry Sergeevich | |
| dc.coverage.spatial | Минск | ru_RU |
| dc.date.accessioned | 2023-11-01T13:31:29Z | |
| dc.date.available | 2023-11-01T13:31:29Z | |
| dc.date.issued | 2018 | |
| dc.identifier.citation | Integration of artificial neural networks and knowledge bases / V. A. Golovko [et. al ] // Открытые семантические технологии проектирования интеллектуальных систем = Open Semantic Technologies for Intelligent Systems (OSTIS-2018) : материалы международной научно-технической конференции, Минск, 15–17 февраля 2018 г. / редкол. : В. В. Голенков (отв. ред.) [и др.]. – Минск : БГУИР, 2018. – P. 133–146. – Bibliogr.: p. 146 (14 titles). | ru_RU |
| dc.identifier.uri | https://rep.bstu.by/handle/data/36750 | |
| dc.description | Головко Владимир Адамович, Крощенко Александр Александрович, Голенков Владимир Васильевич, Ивашенко Валериан Петрович, Ковалев Михаил Владимирович, Таберко Валерий Васильевич, Иванюк Дмитрий Сергеевич. Интеграция искусственных нейронных сетей и баз знаний | ru_RU |
| dc.description.abstract | This article reviews the questions and directions of integration of artificial neural networks with knowledge bases.
There are two main directions of integration:
1) the inputs and outputs of artificial neural network to use
integration of knowledge bases and artificial neural networks for
solutions of application problems;
2) by artificial neural network representation on the basis ofontological structures and its interpretation by means of knowledge processing in the knowledge base providing an intelligent environment for the development, training and integration of different artificial neural networks compatible with knowledge bases.
The knowledge bases that are integrated with artificial neural networks are built on the basis of homogeneous semantic networks and multiagent approach to represent and process knowledge. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | artificial neural network | ru_RU |
| dc.subject | искусственная нейронная сеть | ru_RU |
| dc.subject | knowledge base | ru_RU |
| dc.subject | база знаний | ru_RU |
| dc.subject | integration | ru_RU |
| dc.subject | интеграция | ru_RU |
| dc.subject | frameworks | ru_RU |
| dc.subject | фреймворки | ru_RU |
| dc.title | Integration of artificial neural networks and knowledge bases | ru_RU |
| dc.title.alternative | Интеграция искусственных нейронных сетей и баз знаний | ru_RU |
| dc.type | Научный доклад (Working Paper) | ru_RU |
