Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jian-Xue Chen"'
Autor:
Shui Yu, Jian Xue Chen
Publikováno v:
Applied Mechanics and Materials. :553-556
Combining ant colony optimization (ACO) algorithm with back-propagation (BP) algorithm, the ACO-BP algorithm is proposed to optimize shift decision based on the vehicle velocity, the vehicle acceleration and the throttle opening. Both BP local search
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6bb9e334dec90382524c36c4d455236
https://doi.org/10.4028/www.scientific.net/amm.263-266.553
https://doi.org/10.4028/www.scientific.net/amm.263-266.553
Autor:
Jian Xue Chen
Publikováno v:
Applied Mechanics and Materials. :2722-2725
Fault diagnosis is an important problem in the process of chemical industry and the artificial neural network is widely applied in fault diagnosis of chemical process. A hybrid algorithm combining ant colony optimization (ACO) algorithm with back-pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92dc20190e812dcbf1e5099038c75fde
https://doi.org/10.4028/www.scientific.net/amm.217-219.2722
https://doi.org/10.4028/www.scientific.net/amm.217-219.2722
Autor:
Fei Liu, Jian-Xue Chen
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540235644
GCC
GCC
Autonomic computing is a promising technique in information technology industry. Depending on peer group autonomic computing, one can easily solve those traditional but seem-to-be intractable tasks. This paper introduces the Distributed Hypertext Cat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e4d4dff4c962ba22a9a48df9db2811b
https://doi.org/10.1007/978-3-540-30208-7_117
https://doi.org/10.1007/978-3-540-30208-7_117
Publikováno v:
Proceedings. International Conference on Machine Learning and Cybernetics.
Support Vector Machines (SVM) have met with significant success in numerous real-world learning tasks. This paper reports our evaluation of SVM on unsteady fault diagnosis for chemical processes such as the CSTR model. We use fixed time series data a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ba137a4f1dc56cd4ff7bf1bd9564cd3
https://doi.org/10.1109/icmlc.2002.1174485
https://doi.org/10.1109/icmlc.2002.1174485
Publikováno v:
Proceedings International Conference on Machine Learning & Cybernetics; 2002, p772-772, 1p