Application of Rough Set-Neural Network Algorithm to Predict Angle of Stratum Movement in Metal Deposit

Yan Hui Guo; Ke Peng Hou

doi:10.4028/www.scientific.net/AMM.501-504.47

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 501-504Application of Rough Set-Neural Network Algorithm...

Application of Rough Set-Neural Network Algorithm to Predict Angle of Stratum Movement in Metal Deposit

Abstract:

Based on a large number of research results of displacement angle in domestic and foreign caving mines, rough set neural network algorithm which is used for calculating the displacement angle of stratum is established by rough set theory and improved BP neural network theory, and which is applied in predicting displacement angle of stratum of a copper mine, The results show that the algorithm has higher precision , and the result is better than the traditional BP neural network algorithm, and providing a new method to similar mine in selecting angle of strata movement.

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Periodical:

Applied Mechanics and Materials (Volumes 501-504)

Pages:

47-50

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.501-504.47

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Online since:

January 2014

Authors:

Yan Hui Guo*, Ke Peng Hou

Keywords:

Angle of Stratum Movement, BP Neural Network (BPNN), Caving Mining Method, Metal Mine, Rough Set (RS)

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