Research on Application of Artificial Neural Network in Coal Mine Safety Assessment
To study the optimize design of artificial neural network when applied in eoalmine safety Assessment, neural networks of different structure and different parameter was test to get the assessment of the same training sample, by means of changing the number of the nerve cell and changing the way of assigning the initial value. The adaptability of the artificial neural network to coalmine safety Assessment was also discussed, the study of BP neural network was exercised by the counter prop gable algorithm and genetic algorithm, BP neural network was implied in the comprehensive safety assessment of the system and the advantages were described on the basis of the analysis of BP neural network. Finally, a practical example to test the model, this models scientific, practical and advantage was verified.
artificial neural network BP coalmine safety assessment
YANG Zhiyuan ZHANG Hong SHEN Si
Geology Institute,Xian Branch of China Coal Research Institute,Xian 710054,Shaanxi,China;Departmen Geology Institute,Xian Branch of China Coal Research Institute,Xian 710054,Shaanxi,China Department of Chemistry and Chemical Engineering,Xian University of Science and echnology,Xian 710
国际会议
The 2008 International Symposium on Safety Science and Technology(2008年安全科学技术国际会议)
北京
英文
126-128
2008-09-24(万方平台首次上网日期,不代表论文的发表时间)