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