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A Feed-forward Neural Network Model for Predicting Stock Price
주가 예측을 위한 피드포워드 신경망 모델
- Li, Xintao;
- Siddiqui, Mohsin Javaid;
- Abbas, Asad;
- Lee, Scott Uk-Jin
초록
With the development of science and technology, people pay more attention to predicting the price of stock by using machine learning algorithm. Different algorithms have been used to forecast the direction of the stock prices and researchers have already got some achievements. In this paper, we propose a feedforward neural network model and use one year’s data to train it until the accuracy of prediction is more than 90%. Predicting stock prices will be concerned more in the future. And many algorithms will be adopted to improve the prediction accuracy.
- 제목
- A Feed-forward Neural Network Model for Predicting Stock Price
- 제목 (타언어)
- 주가 예측을 위한 피드포워드 신경망 모델
- 저자
- Li, Xintao; Siddiqui, Mohsin Javaid; Abbas, Asad; Lee, Scott Uk-Jin
- 발행일
- 2017-12
- 저널명
- 2017 한국소프트웨어종합학술대회 (KSC2017)
- 페이지
- 1018 ~ 1020
- 언어
- ENG
- 출판사
- 한국정보과학회
- 발행국가
- 대한민국
- 분량
- 3 페이지