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Self-training Neural System for Autonomous Control of a Mobile Robot
| dc.contributor.author | Golovko, V. | ru |
| dc.contributor.author | Ignatiuk, O. | ru |
| dc.coverage.spatial | Brest | ru |
| dc.date.accessioned | 2021-07-27T08:09:24Z | |
| dc.date.available | 2021-07-27T08:09:24Z | |
| dc.date.issued | 1999 | |
| dc.identifier.citation | Golovko, V. Self-training Neural System for Autonomous Control of a Mobile Robot / V. Golovko, O. Ignatiuk // International Conference on Neural Networks and Artificial Intelligence ICNNAI'99 = Международная конференция по нейронным сетям и искусственному интеллекту ICNNAI'99 : Proceedings, Brest, Belarus, 12–15 October 1999 / Brest Polytechnic Institute, Department of Computers and Laboratory of Artificial Neural Networks, Belarus Special Interest Group of International Neural NetWork Society, International Neural NetWork Society, Belarusian State University of Informatics and Radioelectronics (Belarus), Belarusian Academy of Sciences, Institute of Engineering Cybemetics (Belarus), Universidad Politechnica de Valencia (Spain), Institute of Computer Information Technologies (Ukraine, Ternopil) ; ed. V. Golovko. – Brest : BPI, 1999. – P. 69–72. | ru |
| dc.identifier.uri | https://rep.bstu.by/handle/data/20636 | |
| dc.description.abstract | Unsupervised training is of great importance for adaptation to the emironment. This adaptation is performed by means of continuos training as a result of interaction between robot and emironment. In this case the teacher is the emironment. This paper presents the way for the implementation of unsupervised learning and self-organizing. Such approach is offered to be use for a mobile robot. | ru |
| dc.language.iso | en | ru |
| dc.publisher | BPI | ru |
| dc.title | Self-training Neural System for Autonomous Control of a Mobile Robot | ru |
| dc.type | Научный доклад (Working Paper) | ru |
