An incorporate genetic algorithm based back propagation neural network model for coal and gas outburst intensity prediction

Procedia Earth and Planetary Science

Volumn 1, Issue 1, 2009, Pages 1285-1292

  Min, Yang ^a   Wang, Yun jia ^a   Cheng, Yuan ping ^a  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

Author keywords

BP operator; coal and gas outburst; improved model; incorporate genetic algorithm based back propagation neural network; outburst intensity prediction

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; COAL AND GAS OUTBURST; COMPLEX TASK; CROSSOVER RATES; CROSSOVER STRATEGIES; DATA SETS; GA OPTIMIZATION; IMPROVED GA; IMPROVED MODELS; INTENSITY PREDICTION; ITERATIVE COMPUTATION TIME; OPERATING EFFICIENCY; OUTBURST INTENSITY; POPULATION MODEL; PRE-TREATMENT; RANDOM SEARCHES; SELF GUIDING;

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; COAL; COAL INDUSTRY; COMPUTATIONAL EFFICIENCY; GAS BURSTS; GASES; GENETIC ALGORITHMS; LOCOMOTIVES; MATHEMATICAL MODELS; MATHEMATICAL OPERATORS; OPTIMIZATION; RAILROAD CARS;

NEURAL NETWORKS;

EID: 71749083837     PISSN: None     EISSN: 18785220     Source Type: Conference Proceeding    
DOI: 10.1016/j.proeps.2009.09.199     Document Type: Conference Paper

References (10)

1. Wang K., and Yu Q.X. Non-linear Characteristics and Prediction Model of Coal and Gas Outburst (2005), Xuzhou, China University of Mining & Technology Press
2. Hao J.S. Application of improved BP network in prediction of coal and gas outburst. Journal of Liaoning Technical University 23 (2004) 9-11
3. Wei A.Z., Wang K., and Hu Y.S. Predictive study on coal and gas outburst intensity based on GA-BP compound algorithm. Mining Safety & Environmental Protection 33 (2006) 4-6
4. Xue P.Q., Wu L.D., and Li H.J. Predicting the amount of gas emitted based on wavelet neural network. China Safety Science Journal 16 (2006) 22-25
5. Tan Y.L., Xiao Y.X., and Sun W.F. Self-adaptive wavelet neural network for recognizing and predicating outburst of coal and gas. Chinese Journal of Rock Mechanics and Engineering 26 (2007) 3373-3377
6. Yang L.X., Shen Y., and Hou G.D. The prediction of coal and gas outburst based on support vector machine. Journal of Jiaozuo Institute of Technology 25 (2006) 348-350
7. Marcelin J.L. A metamodel using neural networks and genetic algorithms for an integrated optimal design of mechanisms. The International Journal of Advanced Manufacturing Technology 9 (2004) 708-714
8. Kim D.S., Kim H.S., and Chung D.J. A modified genetic algorithm for fast training neural networks. Springer-Verlag Berlin Heidelberg 3496 (2005) 660-665
9. Wang Z.Q., and Zeng B. Research on selecting crossover individuals in genetic algorithms. Journal of Shantou University 20 (2005) 55-58
10. Zhang L., and Zhang W.M. Optimization strategies in application based on GA-BP algorithm. Chinese Agricultural Mechanization 1 (2006) 77-79