An intelligent forecasting system of stock price using neural networks
- 2 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 371-377
- https://doi.org/10.1109/ijcnn.1992.287183
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.<>Keywords
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