中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Estimation of biodiesel yield using fast decorrelated neural network ensemble

文献类型:期刊论文

作者Shi HY(史洪岩); Li, Bin; Wang, Xiu; Wang, Ying; Wong, Dresnutsky
刊名Journal of Engineering Science and Technology Review
出版日期2014
卷号7期号:3页码:158-163
关键词Biodiesel Yield Negative Correlation Learning Fast Decorrelated Neural Network Ensembles RVFL
ISSN号1791-9320
产权排序1
中文摘要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.
收录类别EI
语种英语
公开日期2014-11-03
源URL[http://ir.sia.cn/handle/173321/15186]  
专题沈阳自动化研究所_信息服务与智能控制技术研究室
推荐引用方式
GB/T 7714
Shi HY,Li, Bin,Wang, Xiu,et al. Estimation of biodiesel yield using fast decorrelated neural network ensemble[J]. Journal of Engineering Science and Technology Review,2014,7(3):158-163.
APA Shi HY,Li, Bin,Wang, Xiu,Wang, Ying,&Wong, Dresnutsky.(2014).Estimation of biodiesel yield using fast decorrelated neural network ensemble.Journal of Engineering Science and Technology Review,7(3),158-163.
MLA Shi HY,et al."Estimation of biodiesel yield using fast decorrelated neural network ensemble".Journal of Engineering Science and Technology Review 7.3(2014):158-163.

入库方式: OAI收割

来源:沈阳自动化研究所

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