Title :
A user friendly decision support system for dealing stocks using neural network
Author :
Baba, Norio ; Morimoto, Mamoru ; Naito, Maki ; Maeda, Takasi ; Matsuda, Hideki
Author_Institution :
Inf. Sci., Osaka Kyoiku Univ., Kashiwara City, Japan
Abstract :
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.
Keywords :
backpropagation; decision support systems; financial data processing; neural nets; optimisation; stock markets; backpropagation; decision support system; neural network; random optimization; stocks dealing; Cities and towns; Computational modeling; Computer network reliability; Computer networks; Decision support systems; Information science; Neural networks; Optimization methods; Predictive models; Training data;
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
DOI :
10.1109/IJCNN.1993.714025
