A Novel Convolutional Neural Networks for Stock Trading Based on DDQN Algorithm

In deep learning based stock trading strategy models, most of the research just use simple convolutional neural networks (CNN) to process stock data. But task-specific neural network structures have been proposed extensively, and their effectiveness has been demonstrated in computer vision (CV) and...

書誌詳細
出版年:	IEEE Access
主要な著者:	Kai Cui, Ruizhe Hao, Yuling Huang, Jianqing Li, Yunlin Song
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2023-01-01
主題:	DRL DDQN CNN stock feature extraction network
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10077346/

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