Power Grid Risk Evaluation Model of Empty Mine Mined-Out Area Based on BP Neural Network

Guo Feng Yang; Jia Kui Zhao; Ting Shun Li; Jing  Zhou

doi:10.4028/www.scientific.net/AMR.756-759.1710

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Power Grid Risk Evaluation Model of Empty Mine...

Power Grid Risk Evaluation Model of Empty Mine Mined-Out Area Based on BP Neural Network

Abstract:

The risk evaluation of empty mine mined-out area is of great significance to the security and stability of the power facilities. But influence evaluation of empty mine mined-out area factor multitudinous, this paper selected seven factors associated with the system. Based on the principle of BP neural network, we build a 3 layer BP neural network model suitable for grid risk evaluation. The BP neural network model was trained by collected samples of empty mine mined-out area and the logical parameters of BP neural network were acquired and tested by the testing samples for accuracy, and finally we proposes preventive measures based on the evaluation.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

1710-1714

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.1710

Citation:

Cite this paper

Online since:

September 2013

Authors:

Guo Feng Yang, Jia Kui Zhao, Ting Shun Li, Jing Zhou

Keywords:

BP Neural Network (BPNN), Empty Mine Mined-Out Area, Evaluation Model, Grid Risk

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