Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Wun-He Luo"'
Autor:
Wun-He Luo, 羅文和
96
This thesis studies the fault tolerant performance of a radial basis function (RBF) network being trained to against the multiplicative weight noise (MWN) using both weight decay learning (WDL) and explicit regularization learning (ERL). It i
This thesis studies the fault tolerant performance of a radial basis function (RBF) network being trained to against the multiplicative weight noise (MWN) using both weight decay learning (WDL) and explicit regularization learning (ERL). It i
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/91062868963543008427
Publikováno v:
ISDA (1)
Although weight decay learning has been proposed to improve generalization ability of a neural network, many simulated studies have demonstrated that it is able to improve fault tolerance. To explain the underlying reason, this paper presents an anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::749d3b9f031bb22d4777bae153f31fad
https://doi.org/10.1109/isda.2008.146
https://doi.org/10.1109/isda.2008.146
Publikováno v:
Frontiers of High Performance Computing and Networking ISPA 2007 Workshops ISBN: 9783540747666
ISPA Workshops
ISPA Workshops
This paper proposes a fixed clustering algorithm (FCA) to improve energy efficiency for wireless sensor networks (WSNs). In order to reduce the consuming energy of sending data at each sensor, the proposed algorithm uniformly divides the sensing area
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61a7f57fc74a9bbed04ba7f81dec7c9a
https://doi.org/10.1007/978-3-540-74767-3_47
https://doi.org/10.1007/978-3-540-74767-3_47
Publikováno v:
2008 Eighth International Conference on Intelligent Systems Design & Applications; 2008, p152-157, 6p