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《CHINESE JOURNAL OF ROCK MECHANICS AND ENGINEERING》 1999-05
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STUDY ON GENETIC NEURAL NETWORK METHOD OF DISPLACEMENT BACK ANALYSIS

Feng Xiating 1, 2 Zhang Zhiqiang 2 Yang Chengxiang 2 Lin Yunmei 2 ( 1 Institute of Rock and Soil Mechanics, The Chinese Academy of Sciences, Wuhan 430071 China) ( 2 Northeastern University, Shenyang 110006 China)  
An evolutionary neural network method for displacement back analysis is proposed by combining the neural network and genetic algorithm. The samples produced in orthogonal experiment are used to train the neural network whose architecture is determined in global optimum by genetic algorithm. Thus, the neural network with optimal architecture trained by optimal prediction algorithm is used to describe the relationship between the rock mechanical parameters and displacements produced due to excavation. Then genetic algorithm is adopted again to search the optimal rock mechanical parameters in their global ranges. As an example, a back analysis for elastic problem is introduced. The results are satisfactory.
【Fund】: 国家自然科学基金;教育部博士点基金
【CateGory Index】: TU452
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