A Feed-forward Neural Network Model for Predicting Stock Price

Title
A Feed-forward Neural Network Model for Predicting Stock Price
Other Titles
주가 예측을 위한 피드포워드 신경망 모델
Author
Lee, Scott Uk-Jin
Issue Date
2017-12
Publisher
한국정보과학회
Citation
2017 한국소프트웨어종합학술대회, Page. 1018-1020
Abstract
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.
URI
https://www.eiric.or.kr/community/post2.php?m=view&gubun=201710&num=12522&pg=1&seGubun=&seGubun1=&SnxGubun=포스터&searchBy=Subject&searchWord=A Feed-forward Neural Network Model for Predicting Stock Pricehttp://repository.hanyang.ac.kr/handle/20.500.11754/72692
Appears in Collections:
COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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