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Shi Shanming; Liu Bao(The Institute of Systems Engineering,Tianjin University,Tianjin 300072,P.R.China)  
In this paper,the principle of neural network forecasting is investigated.Through com-puter simulations,the forecasting ability of neural networks in multivariable time series is compared withthe ARIMA method.The neural network models give out more reasonable results in both accuracy andtrend,In additio.atechnique of comprehensive forecasting with neural networks is proposed,in whichinformation from different sources is gradually combined.Based on these researches,we can predict thestock prices a week ahead of time. In the end,we have concluded that the neural networks make use ofthe information in a more effective way than the common statistical approaches.
【Fund】: 国家自然科学基金
【CateGory Index】: O211.67
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