Application of Radial Basis Function Neural Network to Pattern Classification of Stock Changing Tendency

In this paper,we discuss the application of radial basis function neural network to pattern classification of stock changing tendency. We put forward a computing method for adjusting the basis width as well as some data preprocessing strategies. Simulation results show that our method is efficient.