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Updated: Jul 7, 2026

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Published on: February 6, 2020

2LE-BO-DeepTrade:用于股票价格预测的综合深度学习框架

Zinnet Duygu Akşehir1, Erdal Kılıç1

  • 1Department of Computer Engineering, Ondokuz Mayis University, Samsun, Turkey.

PeerJ. Computer science
|September 24, 2025
PubMed
概括

本研究介绍了2LE-BO-DeepTrade,这是一个用于股票价格预测的深度学习框架. 它通过结合denoising,贝叶斯优化和一种新的交易方法,显著提高了准确性和交易策略回报率.

关键词:
2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEMDAN 2LE-ICEEM深度学习是一种深度学习.模式分解模式分解降低噪音 减少噪音股票价格预测 股票价格预测交易策略 交易策略 交易策略

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