A deep learning integrated framework for predicting stock index price and fluctuation via singular spectrum analysis and particle swarm optimization
Author:
Funder
Fujian Provincial Department of Science and Technology
Fujian University of Technology
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05271-x.pdf
Reference50 articles.
1. Xian S, Lei H, Chen K, Li Z (2022) A novel fuzzy time series model based on improved sparrow search algorithm and ceemdan. App Intell 1–28
2. Wang J (2022) A novel metal futures forecasting system based on wavelet packet decomposition and stochastic deep learning model. Appl Intell 52(8):9334–9352
3. Liang M, Wu S, Wang X, Chen Q (2022) A stock time series forecasting approach incorporating candlestick patterns and sequence similarity. Expert Syst Appl 205:117595
4. Niu H, Xu K, Wang W (2020) A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network. Appl Intell 50:4296–4309
5. Zhao Y, Yang G (2023) Deep learning-based integrated framework for stock price movement prediction. Appl Soft Comput 133:109921
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Stock price prediction for new energy vehicle companies based on multi-source data and hybrid attention structure;Expert Systems with Applications;2024-12
2. Two-stage stock portfolio optimization based on AI-powered price prediction and mean-CVaR models;Expert Systems with Applications;2024-12
3. LCDFormer: Long-term correlations dual-graph transformer for traffic forecasting;Expert Systems with Applications;2024-09
4. Intelligent Interaction Design and User Experience of VR Platform Based on Intelligent Perception and Deep Learning;Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy;2024-03
5. A Collective Intelligence to Predict Stock Market Indices Applying an Optimized Hybrid Ensemble Learning Model;Lecture Notes in Computer Science;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3