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题名: Estimation of biodiesel yield using fast decorrelated neural network ensemble
作者: Shi HY(史洪岩) ; Li, Bin ; Wang, Xiu ; Wang, Ying ; Wong, Dresnutsky
作者部门: 信息服务与智能控制技术研究室
关键词: Biodiesel Yield ; Negative Correlation Learning ; Fast Decorrelated Neural Network Ensembles ; RVFL
刊名: Journal of Engineering Science and Technology Review
ISSN号: 1791-9320
出版日期: 2014
卷号: 7, 期号:3, 页码:158-163
收录类别: EI
产权排序: 1
摘要: The accurate and reliable online measurement of the product yield is very essential for the control and optimization of the biodiesel process. A biodiesel yield prediction model based on the fast decorrelated neural network ensembles (FDNNE) was established to enhance the estimated performance. The random vector functional link (RVFL) networks were inserted into the fast decorrelated neural network ensemble frame as the base model since it could provide better generalized performance and faster speed. The FDNNE product yield prediction model initializes the hidden layer parameters of base models randomly, and calculates the output layer parameters using the least square method with negative correlation learning. Simulation results show that the proposed method has relatively higher accuracy and reliability compared with the single RVFL model.
语种: 英语
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/15186
Appears in Collections:信息服务与智能控制技术研究室_期刊论文

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Recommended Citation:
史洪岩; Li, Bin; Wang, Xiu; Wang, Ying; Wong, Dresnutsky.Estimation of biodiesel yield using fast decorrelated neural network ensemble,Journal of Engineering Science and Technology Review,2014,7(3):158-163
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