Current Result Document : 60 / 60
| 한글제목(Korean Title) |
모델 성능 분석을 통한 주가 예측 – 비교 분석 |
| 영문제목(English Title) |
Stocks Price Prediction by Analyzing Models Performance – A comparative analysis |
| 저자(Author) |
자빈 샤이사타
홍봉희
Jabeen Shaisata
Bonghee Hong
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| 원문수록처(Citation) |
VOL 49 NO. 01 PP. 0034 ~ 0036 (2022. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Predicting the behavior of the stock market has been an area that has attracted the interest of many researchers particularly in the field of Machine Learning and time series analysis. The ability to analyze an entity such as the stock market that appears to lack synchronicity yet seemingly influenced by historic events remains an open issue in research. The main purpose is to choose the best models among ARIMA, SARIMAX, CNN and Stacked LSTM, and comparing the results and selecting the best model which gives the higher accuracy result. |
| 키워드(Keyword) |
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| 파일첨부 |
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