Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Chengfu Yi"'
Publikováno v:
IEEE Access, Vol 5, Pp 26257-26266 (2017)
This paper focuses on the tracking-control problem of nonlinear strict-feedback system by utilizing neural networks. Combining a novel recurrent neural network and gradient-based neural network, we investigate, develop and design a new controller bas
Externí odkaz:
https://doaj.org/article/959fcc5d26fd4e9a88b70f78ff161b9a
Publikováno v:
Mathematical Methods in the Applied Sciences.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da978a56996ff580e83c6978b27aed73
https://doi.org/10.1002/mma.8835
https://doi.org/10.1002/mma.8835
Publikováno v:
IEEE Access, Vol 5, Pp 26257-26266 (2017)
This paper focuses on the tracking-control problem of nonlinear strict-feedback system by utilizing neural networks. Combining a novel recurrent neural network and gradient-based neural network, we investigate, develop and design a new controller bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fa9f209eb0b974703b5921a1e02f8eb
https://ieeexplore.ieee.org/document/8110631/
https://ieeexplore.ieee.org/document/8110631/
Publikováno v:
2014 12th International Conference on Signal Processing (ICSP).
Energy consumption is always a key issue for Wireless Body Area Networks (WBANs) composed by sensor nodes. In this paper, with the consideration of the battery characteristics, we analyze the performance indexes of IEEE 802.15.6 MAC protocol under sa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1c3ba33a434af96fa35e14355929b12
https://doi.org/10.1109/icosp.2014.7015392
https://doi.org/10.1109/icosp.2014.7015392
Autor:
Chengfu Yi, Huajin Wang
Publikováno v:
FSKD
Most existing techniques work on hiding association rules in Boolean data. Based on analyzing fuzzy correlation, we have introduced a new scheme for privacy-preservation in fuzzy association rules mining, named PPM-Scheme, which is able to achieve co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db213c894fdd7288cf87c0e1e80b7305
https://doi.org/10.1109/fskd.2012.6233857
https://doi.org/10.1109/fskd.2012.6233857
Publikováno v:
ICNC (3)
In view of the great potential in parallel processing and ready implementation via hardware, neural networks are now often employed to solve online matrix algebraic problems. Recently, a special kind of recurrent neural network has been proposed by Z
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b45b44a5c73d9c8392e460af4318fd24
https://doi.org/10.1109/icnc.2008.47
https://doi.org/10.1109/icnc.2008.47
Publikováno v:
2008 Fourth International Conference on Natural Computation; 2008, p521-525, 5p