An intelligent forecasting system of stock price using neural networks

N. Baba · M. Kozaki

144 citations0/0 files storedInternational Joint Conference on Neural Networks (IJCNN)

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Stock Market Forecasting Methods Neural Networks and Applications Forecasting Techniques and Applications

Abstract

A neural network system developed for forecasting stock prices in the Japanese market is presented. The hybrid algorithm, which combines the modified BP (backpropagation) method with the random optimization method, has been used for training the parameters in the neural network. It has been shown by several simulation results that this neural network system is quite helpful for making a good forecast of stock prices.>

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