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An intelligent forecasting system of stock price using neural networks

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2 Author(s)
N. Baba ; Osaka Educ. Univ., Ikeda City, Japan ; M. Kozaki

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

Published in:

Neural Networks, 1992. IJCNN., International Joint Conference on  (Volume:1 )

Date of Conference:

7-11 Jun 1992