用于股价预测的 GAN 增强型非线性融合模型

IF 2.5 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Computational Intelligence Systems Pub Date : 2024-01-18 DOI:10.1007/s44196-023-00394-4
Yingcheng Xu, Y. Zhang, Peide Liu, Qiuyue Zhang, Yuqi Zuo
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GAN-Enhanced Nonlinear Fusion Model for Stock Price Prediction
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来源期刊
International Journal of Computational Intelligence Systems
International Journal of Computational Intelligence Systems COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
CiteScore
5.60
自引率
3.40%
发文量
94
审稿时长
10.5 months
期刊介绍: The International Journal of Computational Intelligence Systems publishes original research on all aspects of applied computational intelligence, especially targeting papers demonstrating the use of techniques and methods originating from computational intelligence theory. The core theories of computational intelligence are fuzzy logic, neural networks, evolutionary computation and probabilistic reasoning. The journal publishes only articles related to the use of computational intelligence and broadly covers the following topics: -Autonomous reasoning- Bio-informatics- Cloud computing- Condition monitoring- Data science- Data mining- Data visualization- Decision support systems- Fault diagnosis- Intelligent information retrieval- Human-machine interaction and interfaces- Image processing- Internet and networks- Noise analysis- Pattern recognition- Prediction systems- Power (nuclear) safety systems- Process and system control- Real-time systems- Risk analysis and safety-related issues- Robotics- Signal and image processing- IoT and smart environments- Systems integration- System control- System modelling and optimization- Telecommunications- Time series prediction- Warning systems- Virtual reality- Web intelligence- Deep learning
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