The Study on the Gray Neural Network Model and Its Application in the Prediction

The study on the bearing capacity and settlement is important to a project. It is useful and concrete to develop a model with some intelligent methods in artificial intelligence area for the prediction of some big structure projects. The validity of the models has been proved by some civil engineering practices. Therefore, the research of bearing capacity and settlement characteristics of rigid pile composite foundation has been the focus of the basic engineering research area in foundations. This paper established a model based on the Gray RBF neutral network which is a combination of gray model and RBF neutral network model and realized the model with Matlab7.0.