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A user friendly decision support system for dealing stocks using neural network

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5 Author(s)
Baba, N. ; Inf. Sci., Osaka Kyoiku Univ., Kashiwara City, Japan ; Morimoto, M. ; Naito, M. ; Maeda, T.
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A user friendly decision support system for dealing stocks has been developed. Parameters in the neural network consisting of 15 input units, 2 hidden layers, and 2 output units are trained by the hybrid algorithm which combines the modified backpropagation method with the random optimization method. It is shown by several simulation results that the proposed decision support system is quite helpful for dealing stocks.

Published in:

Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on  (Volume:1 )

Date of Conference:

25-29 Oct. 1993