CLC number: TP18
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2009-09-29
Cited: 4
Clicked: 10211
Yi-jian LIU, Yan-jun FANG, Xue-mei ZHU. Modeling of hydraulic turbine systems based on a Bayesian-Gaussian neural network driven by sliding window data[J]. Journal of Zhejiang University Science C, 2010, 11(1): 56-62.
@article{title="Modeling of hydraulic turbine systems based on a Bayesian-Gaussian neural network driven by sliding window data",
author="Yi-jian LIU, Yan-jun FANG, Xue-mei ZHU",
journal="Journal of Zhejiang University Science C",
volume="11",
number="1",
pages="56-62",
year="2010",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C0910176"
}
%0 Journal Article
%T Modeling of hydraulic turbine systems based on a Bayesian-Gaussian neural network driven by sliding window data
%A Yi-jian LIU
%A Yan-jun FANG
%A Xue-mei ZHU
%J Journal of Zhejiang University SCIENCE C
%V 11
%N 1
%P 56-62
%@ 1869-1951
%D 2010
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C0910176
TY - JOUR
T1 - Modeling of hydraulic turbine systems based on a Bayesian-Gaussian neural network driven by sliding window data
A1 - Yi-jian LIU
A1 - Yan-jun FANG
A1 - Xue-mei ZHU
J0 - Journal of Zhejiang University Science C
VL - 11
IS - 1
SP - 56
EP - 62
%@ 1869-1951
Y1 - 2010
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C0910176
Abstract: In this paper, a novel bayesian-Gaussian neural network (BGNN) is proposed and applied to on-line modeling of a hydraulic turbine system (HTS). The new BGNN takes account of the complex nonlinear characteristics of HTS. Two redefined training procedures of the BGNN include the off-line training of the threshold matrix parameters, optimized by swarm optimization algorithms, and the on-line BGNN predictive application driven by the sliding window data method. The characteristics models of an HTS are identified using the new BGNN method and simulation results are presented which show the effectiveness of the BGNN in addressing modeling problems of HTS.
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Open peer comments: Debate/Discuss/Question/Opinion
<1>
JIA<toanny@126.com>
2010-01-29 10:37:09
Very interesting.