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Published in:
2013 | OriginalPaper | Chapter
11. Electric Power Client Credit Assessment Based on GA Optimized BP Neural Network
Author : Xinli Wang
Published in: Proceedings of the 2nd International Conference on Green Communications and Networks 2012 (GCN 2012): Volume 3
Publisher: Springer Berlin Heidelberg
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Abstract
Judging from the characteristics of electrical products and power supply enterprises, this paper combines quantitative and qualitative analysis together, and establishes a electric power client credit assessment indicator system on the basis of analysis on factors influencing electric power client credit. The method of using genetic algorithm to optimize connection weight and threshold value of BP overcomes the defects of falling into the regional minutiae and slow velocity of convergence, builds the electric power client credit assessment model, and conducts empirical study. The research result indicates that BP neural network optimized by genetic algorithm plays a scientifically practical role in assessment of electric power client credit risk, supplying a reference for risk elusion of electric power clients.