APPLICATION OF GENETIC NEURAL NETWORK METHOD TO FORECASTING HORIZONTAL DEFORMATION OF SUPPORT STRUCTURE AT FOUNDATION PIT

A new method for training the artificial neural network is presented. In this method, the genetic algorithm is used to train network with updating the weights and the valves to minimize the error between the network output and the desired output. Then the back propagation(BP) algorithm is used to further train the artificial neural network. A new method of using the course of training BP network to get mutation is expounded. For the mutation of the genetic algorithm, the choice and the mutation of the genetic algorithm is studied. As an example, the method was used to predict horizontal displacement of deformation of support structure to foundation pit . The result suggests that the method is feasible.