The Application of Fuzzy Neural Networks in Stock Price Forecasting

The main purpose of this paper is to investigate the application of the fuzzy neural network for stock price forecasting. It has overcome the limitation such as the dependency on experts for fuzzy rule and no self-adaptation for fuzzy set. The self-regulation of membership functions and the self-organization of fuzzy rule are realized by the self- learning of the neural networks. This approach has been proven by experiments.