IDENTIFICATION OF PERMEABILITY COEFFICIENT OF ROCK MASS IN DAM FOUNDATION BASED ON GENETIC NEURAL NETWORK
基于遗传神经网络的坝基岩体渗透系数识别

The mathematical model of seepage field is introduced as the basis in identifying the permeability coefficient of the dam foundation by observing the dynamic information of the movement of underground water in seepage field. With the combination of genetic algorithm with artificial neural network,the newly established genetic neural network is of faster training speed and superior generating ability. The presented numerical example shows that the genetic neural network is of both higher computing efficiency and higher identification accuracy.