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Study of the Safety Assessment Model of Coal Mine Based on BP Neural Network

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3 Author(s)
Yongjian Fan ; Hebei Univ. of Eng., Handan, China ; Jianying Mai ; Yanguang Shen

Because of the complexity of coal mine safety assessment and BP neural network's ability to handle complex problem and auto-adaptive ability, the application of BP neural network in the coal mine safety assessment is necessary and feasible. This paper proposes the principle of safety assessment index system establishment and establishs coal mine safety assessment index system, introduces neural network and gives the realization and optimization of BP neural network algorithm, establishs the safety assessment model of coal mine based on BP neural network and carry on the application and analysis of this model, Finally summarize and propose required further study question. the application of BP neural network in the coal mine safety assessment is helpful to solve the problems and difficulties brought by complexity in the assessment and complex weight adjustment and is helpful to improve the accuracy of assessment.

Published in:

Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on  (Volume:1 )

Date of Conference:

10-11 Oct. 2009