대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1991년도 하계학술대회 논문집
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- Pages.896-899
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- 1991
신경회로망을 이용한 종합주가지수의 변화율 예측
Prediction of Monthly Transition of the Composition Stock Price Index Using Error Back-propagation Method
- Roh, Jong-Lae (Inha University) ;
- Lee, Jong-Ho (Inha University)
- 발행 : 1991.07.18
초록
This paper presents the neural network method to predict the Korea composition stock price index. The error back-propagation method is used to train the multi-layer perceptron network. Ten of the various economic indices of the past 7 Nears are used as train data and the monthly transition of the composition stock price index is represented by five output neurons. Test results of this method using the data of the last 18 months are very encouraging.
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