| dc.contributor.author | Kurosh Madani | |
| dc.coverage.spatial | Brest | ru_RU |
| dc.date.accessioned | 2023-11-29T08:26:52Z | |
| dc.date.available | 2023-11-29T08:26:52Z | |
| dc.date.issued | 2006 | |
| dc.identifier.citation | Kurosh Madani. Modular Connectionist Systems: Toward Higher Level Intelligent Functions / Kurosh Madani // International Conference on Neural Networks and Artificial Intelligence : proceedings, Brest, 31 May – 2 June, 2006 / Edited: V. Golovko [et al.]. – Brest : BSTU, 2006. – P. 36–43 : il. – Bibliogr.: p. 42–43 (34 titles). | ru_RU |
| dc.identifier.uri | https://rep.bstu.by/handle/data/37365 | |
| dc.description | Курош Мадани. Модульные системы подключения: к интеллектуальным функциям более высокого уровня | ru_RU |
| dc.description.abstract | Recent advances in “neurobiology" allowed highlighting some of key mechanisms of animal intelligence. Among them one can emphasizes brain’s “modular" structure and its ".self-organizing” capabilities. The main goal of this paper is to show how these primary supplies could be exploited and combined in the frame of “soft-computing” issued techniques in order to design intelligent artificial systems emerging higher level intelligent behavior than conventional Artificial Neural Networks (ANN) based structures. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | BrSTU | ru_RU |
| dc.subject | modularity | ru_RU |
| dc.subject | self-organization | ru_RU |
| dc.subject | самоорганизация | ru_RU |
| dc.subject | artificial Intelligent systems | ru_RU |
| dc.subject | искусственные интеллектуальные системы | ru_RU |
| dc.subject | real-world applications | ru_RU |
| dc.subject | приложения реального мира | ru_RU |
| dc.subject | implementation | ru_RU |
| dc.subject | реализация | ru_RU |
| dc.title | Modular Connectionist Systems: Toward Higher Level Intelligent Functions | ru_RU |
| dc.title.alternative | Модульные системы подключения: к интеллектуальным функциям более высокого уровня | ru_RU |
| dc.type | Научный доклад (Working Paper) | ru_RU |
