An effective way for Taiwanese stock price prediction: Boosting the performance with machine learning techniques-Reference-Cited by-同舟云学术

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An effective way for Taiwanese stock price prediction: Boosting the performance with machine learning techniques

Published:2021-06-03 Issue: Volume: Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Nguyen Hai T.¹^ORCID,Tran Toan B.²³^ORCID,Bui Phuong H. D.¹^ORCID

Affiliation:

1. College of Information and Communication Technology Can Tho University Can Tho city 900000 Vietnam

2. Center of Software Engineering Duy Tan University Da Nang 550000 Vietnam

3. Institute of Research and Development Duy Tan University Da Nang 550000 Vietnam

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6437

Reference27 articles.

1. A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression

2. Multi‐variable fuzzy forecasting based on fuzzy clustering and fuzzy rule interpolation techniques;Chen SM;Inf Sci,2010

3. TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups

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1. Unleashing the Power of Tweets and News in Stock-Price Prediction Using Machine-Learning Techniques;Algorithms;2024-05-28

2. Machine Learning-Based Time Series Prediction at Brazilian Stocks Exchange;Computational Economics;2023-12-20

3. Stock price forecasting based on the relationship among Asian stock markets using deep learning;Concurrency and Computation: Practice and Experience;2023-07-12

4. The progress and state-of-art applications of machine learning for stock price prediction;BCP Business & Management;2022-08-04

5. Stock Price Forecasting with Artificial Neural Networks Long Short-Term Memory: A Bibliometric Analysis and Systematic Literature Review;Journal of Computer and Communications;2022

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