Back-analysis of rock mechanic parameters based on coupling algorithm of adaptive particle-awarm-optimization and back-propagation neural network

Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining and Technology

Volumn 37, Issue 6, 2008, Pages 756-762

  Du, Xiao Kai ^a   Ren, Qing Wen ^a   Zheng, Zhi ^b   Zhang, Guo Hua ^c   Xu, Chuan Hua ^d  

^a HOHAI UNIVERSITY   (China)

^b Guiyang Hydropower Investigation Design and Research Institute   (China)

^c China Irrigation and Drainage Development Center   (China)

^d Maanshan Mining Research Inst   (China)

Author keywords

Adaptive particle swarm optimization algorithm; Back Propagation neural network; Feedback analysis; Rock mass mechanical parameter; Suofengying hydraulic power plant

Indexed keywords

ADAPTIVE ALGORITHMS; BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; BRIDGE PIERS; ELASTIC MODULI; ELECTRIC POWER PLANTS; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; HYDRAULICS; IMAGE CLASSIFICATION; MECHANICS; MODAL ANALYSIS; OPTIMIZATION; PARTIAL DISCHARGES; PARTICLE SWARM OPTIMIZATION (PSO); POWER PLANTS; ROCK MECHANICS; ROCKS; STOCHASTIC MODELS; TORSIONAL STRESS;

ADAPTIVE PARTICLE SWARM OPTIMIZATION ALGORITHM; BACK-PROPAGATION NEURAL NETWORK; FEEDBACK ANALYSIS; ROCK MASS MECHANICAL PARAMETER; SUOFENGYING HYDRAULIC POWER PLANT;

NEURAL NETWORKS;

EID: 57249115084     PISSN: 10001964     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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