Settlement Prodiction of Soft-clay Ground Based on Artificial Neural Network

The paper established the model directly based on measured data of freeway,and predicted settlement of soft-clay ground,with the artificial networks (ANN). A perfect effectiveness is obtained through comparing and analyzing the result by some methods of curve fitting method such as hyperbolic method,exponential method,and three-point method. It proved that the neural network method can avoid the mistake due to human factor in traditional methods and can simulate engineering precisely,widely and easily.