Volume 5 Number 9 (Sep. 2010)
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JCP 2010 Vol.5(9): 1364-1371 ISSN: 1796-203X
doi: 10.4304/jcp.5.9.1364-1371

Coal Mine Safety Evaluation with V-Fold Cross-Validation and BP Neural Network

Li Yang and Malin Song
1 School of Management, University of Science & Technology of China, Anhui Hefei, China
2 School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Anhui Bengbu, China


Abstract—A suit of coal mine safety evaluation indexes have been propounded under the study of current situation about coal mine safety assement. Coal mine safety evaluation system based on BP neural network has been established by employing MATLAB neural network toolbox, and the actual index data will be utilized to validate marking effect through using V-fold Cross-validation technique, and then this will be applied to coal mine safety evaluation system to provide grounds for safety production and management in coal mine.

Index Terms—safety evaluation, BP neural network, v-fold cross-validation technique

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Cite: Li Yang and Malin Song, " Coal Mine Safety Evaluation with V-Fold Cross-Validation and BP Neural Network," Journal of Computers vol. 5, no. 9, pp. 1364-1371, 2010.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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