Đăng nhập
 
Tìm kiếm nâng cao
 
Tên bài báo
Tác giả
Năm xuất bản
Tóm tắt
Lĩnh vực
Phân loại
Số tạp chí
 

Bản tin định kỳ
Báo cáo thường niên
Tạp chí khoa học ĐHCT
Tạp chí tiếng anh ĐHCT
Tạp chí trong nước
Tạp chí quốc tế
Kỷ yếu HN trong nước
Kỷ yếu HN quốc tế
Book chapter
Bài báo - Tạp chí
e6437 (2021) Trang:
Tạp chí: Concurrency Computation Practice and Experience

The stock forecast is one of the most challenging tasks that have attracted numerous economists and scientists worldwide. Stock prices can be affected by many reasons, such as physiological, rational, and irrational behavior. Such factors can combine to make the prices volatile and very challenge to predict with great accuracy for a long time in numerous cases. In this study, we have deployed a long short-term memory architecture with various time-steps and classic machine learning methods such as random forests, support vector machines, and autoregression on the Taiwanese stock market collected in 14–15 years. As shown from the visual results, the predicted values have followed the patterns as the actual prices with low error rates in various metrics, including root mean square error and mean absolute error. This work is expected to provide a valuable tool for investigating stock price patterns of stock markets in the future.

Các bài báo khác
Marcin Hernes, Krystian Wojtkiewicz, Edward Szczerbicki (2020) Trang: 74-86
Tạp chí: Communications in Computer and Information Science book series
Tran Khanh Dang, Josef Küng, Makoto Takizawa, Tai M. Chung (2020) Trang: 130-148
Tạp chí: Communications in Computer and Information Science
11 (2020) Trang: 667-675
Tạp chí: International Journal of Advanced Computer Science and Applications,
Tran Khanh Dang, Josef Küng, Makoto Takizawa, Tai M. Chung (2020) Trang: 340-357
Tạp chí: Communications in Computer and Information Science
11 (2020) Trang: 651-657
Tạp chí: International Journal of Advanced Computer Science and Applications
11814 (2019) Trang: 307-319
Tạp chí: Lecture Notes in Computer Science book series (LNCS)
11 (2020) Trang: 630 - 638
Tạp chí: International Journal of Advanced Computer Science and Applications
(2019) Trang: 381-385
Tạp chí: The 11th International Conference on Knowledge and Systems Engineering (KSE 2019) --- October 24-26, 2019 | Da Nang, Vietnam
(2019) Trang: 231-236
Tạp chí: RIVF (Research, Innovation and Vision for the Future), Đà Nẵng, 20-22/03/2019
(2017) Trang:
Tạp chí: NIPS 2017 Workshop on Machine Learning for Health, in Long Beach, CA, USA 08/12/2017
(2016) Trang: 106-115
Tạp chí: 8th Asian Conference on Intelligent Information and Database Systems
11 (2015) Trang: 53-58
Tạp chí: RIVF-2015: The 11th IEEE-RIVF International Conference on Computing and Communication Technologies
 


Vietnamese | English






 
 
Vui lòng chờ...