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《Chinese Journal of Underground Space and Engineering》 2007-04
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A Genetic-artificial Neural Network Algorithm for Mechanical Parameters of Rock Slope

DENG Yong(Chongqing Qianjiang City Construction & Development Co.Ltd,Chongqing 409000,China)  
A new back analysis method for mechanical parameters of slope rocks is developed based on uniform testing design,finite element method,artificial neural network and genetic algorithm.According to uniform testing design,the value levels of the mechanical parameters are chosen,and simulation schemes are arranged;the related analytical samples for neural network are given by FEM calculations.Thus,a BP neural network which is used to forecast displacement of the slope's character points is erected and trained.The physical and mechanical parameters can be analyzed backwards by genetic algorithm.In this algorithm the trained BP neural network is used to calculating the fitness value instead of the FEM method and the calculation time is much reduced. Through examples analysis,the error between the back analysis results and the theoretical ones is much less and meets the requirement of precision,which indicates that this back analysis method is feasible and accurate.
【CateGory Index】: TU452
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