Prediction and analysis of land subsidence based on improved BP neural network model

Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology

Volumn 42, Issue 1, 2009, Pages 60-64

  Li, Hong Xia ^a   Zhao, Xin Hua ^a   Chi, Hai Yan ^a   Zhang, Jian Jun ^b  

^a TIANJIN UNIVERSITY   (China)

^b TIANJIN ACADEMY OF ENVIRONMENTAL SCIENCES   (China)

Author keywords

BP neural network; Genetic algorithm; Land subsidence; Posterior variance test; Primary weights

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; GENETIC ALGORITHMS; GENETIC ENGINEERING; GROUNDWATER; SUBSIDENCE; WATER LEVELS;

BACK-PROPAGATION NEURAL NETWORKS; BP NEURAL NETWORK; BP NEURAL NETWORK MODELS; COUPLING MODELS; IMPROVED BP NEURAL NETWORKS; LAND SUBSIDENCE; LOCAL MINIMUMS; POSTERIOR-VARIANCE-TEST; PREDICTION AND ANALYSIS; PRIMARY WEIGHTS; UNDERGROUND WATER LEVELS;

NEURAL NETWORKS;

EID: 61349085425     PISSN: 04932137     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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