An Application of RBF Neural Network to Stock Market Trend Prediction

RBF neural network is used in stock market trend prediction. The algorithm for s electing the radial basis function center is the nearest neighbor clustering al gorithm. The modeling and forecasting results about Shanghai stock market price index and Yuyang fund price show that the network has reinforcement learning cap acities and mapping ability. Ideal results are obtained in stock market trend pr ediction.