Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Daouren F. AKHMETOV"'
Publikováno v:
Transactions of the Society of Instrument and Control Engineers. 40:257-266
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db4b80dca8685894ffdc6db3a3e2f6cf
https://doi.org/10.9746/sicetr1965.40.257
https://doi.org/10.9746/sicetr1965.40.257
Publikováno v:
Journal of Japan Society for Fuzzy Theory and Systems. 10:973-982
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9d8820a5ba26d712831561c95ea0644
https://doi.org/10.3156/jfuzzy.10.5_211
https://doi.org/10.3156/jfuzzy.10.5_211
Publikováno v:
IFAC Proceedings Volumes. 30:795-800
A novel system identification method based on variable structure neural networks is proposed. The background of the developed approach is General Parameter (GP) method of complex system identification which has effective training features and provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d7bf2980ae9ea2fa2e51e54afd67438
https://doi.org/10.1016/s1474-6670(17)42943-0
https://doi.org/10.1016/s1474-6670(17)42943-0
Autor:
Yasuhiko Dote, Daouren F. Akhmetov
Publikováno v:
IFAC Proceedings Volumes. 28:75-82
A novel neural network learning procedure which has faster training features suitable to real-time implementation is proposed. Then, improved structure backpropagation and radial basis function networks by using the proposed learning scheme are devel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21b91a958930f1f4103deeff471631e3
https://doi.org/10.1016/s1474-6670(17)45404-8
https://doi.org/10.1016/s1474-6670(17)45404-8
Publikováno v:
IEEE transactions on neural networks. 12(1)
By taking advantage of fuzzy systems and neural networks, a fuzzy-neural network with a general parameter (GP) learning algorithm and heuristic model structure determination is proposed in this paper. Our network model is based on the Gaussian radial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a29cb60901cdf174857b71e5054b5f53
https://pubmed.ncbi.nlm.nih.gov/18244370
https://pubmed.ncbi.nlm.nih.gov/18244370
Autor:
Yasuhiko Dote, Daouren F. Akhmetov
Publikováno v:
Advances in Soft Computing ISBN: 9781852330620
In this paper an automatic fuzzy rule generation problem through the artificial neural network (ANN) approach is considered. The unknown fuzzy relation reconstruction problem is treated as an optimization of the structure and parameters of the neural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4f903577100ba8ec09cb53ddd8b6c0b
https://doi.org/10.1007/978-1-4471-0819-1_19
https://doi.org/10.1007/978-1-4471-0819-1_19
Conference
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Conference
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