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)![]() |
刊名 | Journal of Engineering Science and Technology Review
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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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