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Updated: Jun 29, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

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在城市化智能城市中使用新型深度学习模型PLSTM-TAL对股票市场进行增强预测

Saima Latif1, Nadeem Javaid2,3, Faheem Aslam1,4

  • 1Department of Management Sciences, COMSATS University Islamabad, Islamabad 44000, Pakistan.

Heliyon
|March 27, 2024
PubMed
概括

这项研究引入了一种新的深度学习模型,将视孔LSTM与时间注意层 (TAL) 结合起来,用于准确的股票市场预测. 混合模型表现出卓越的性能,在预测股票市场方向方面达到高达96%的准确性.

关键词:
贝叶斯优化是贝叶斯的优化.合同式自动编码器 合同式自动编码器集合实证模式分解组合.视孔 LSTM 的一个例子.股票市场预测 股票市场预测时间注意层是时间注意层.时间序列时间序列城市规划中的城市规划.

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