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Vol. 175, Issue 7, July 2014, pp. 68-74

 

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BP Neural Network Evaluation Model Combined with Grey-Fuzzy Based on Included Angle Cosine
 

* Dongxiao Niu, Yan Lu, Yanchao Chen

North China Electric Power University, No.2, Beinong Road, Huilongguan, Changping District, Beijing, 102206, China
* Tel.: 13811538706, fax: 010-61773079

* E-mail: hdluyan@163.com

 

Received: 19 March 2014 /Accepted: 30 June 2014 /Published: 31 July 2014

Digital Sensors and Sensor Sysstems

 

Abstract: This paper is aimed to establish a novel evaluation model. It has verified the validity of the model based on the application of thermal power project. First of all, this paper analyzed the theoretical and practical significance of thermal power project. Secondly, it built a specific evaluation system from multi-angle and multi-level. The index system is a great innovation of this article. Thirdly, this paper established a model combining BP neural network with grey-fuzzy evaluation model. Finally, this paper selected a 2630 MW air cooling thermal power unit in China. Then do the empirical research based on the data of 2010 to 2012 using Matlab. The combined evaluation model can avoid the subjectivity of grey-fuzzy model and the instability of BP neural network model. It has carried on the empirical research of comprehensive benefits, concluded the level.

 

Keywords: Combined evaluation model, Grey-fuzzy evaluation model, BP neural network model, Included angle cosine.

 

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