Training neural network with genetic algorithms for forecasting thestock price index
Fu Kai; Xu Wenhua
Intelligent Processing Systems, 1997. ICIPS apos;97. 1997 IEEE International Conference on
Volume 1, Issue , 28-31 Oct 1997 Page(s):401 - 403 vol.1
Digital Object Identifier   10.1109/ICIPS.1997.672809
Summary:The paper combines genetic algorithms (GA) with neural network (NN). It trains NN with GA and then predicts the stock price index with the trained network. By learning the special stock knowledge, it can find out the modes and relationship hidden in the abstract data. It can help shareholders and investment agencies to make wise decisions in the stock market so as to get more profits. The primary data are from Shanghai Stock Exchange from March 29, 1994 to August 1, 1994. The imitation result shows that the network is fit for short time prediction and it has high precision

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