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Updated: Jun 24, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

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支持基于矢量机器的股票市场预测,使用长期短期记忆和卷积神经网络,使用鱼圈启发的优化

J Karthick Myilvahanan1, N Mohana Sundaram1

  • 1Department of Computer Science and Engineering, Karpagam Academy of Higher Education, Coimbatore, India.

Network (Bristol, England)
|June 10, 2024
PubMed
概括

这项研究引入了一种新的混合方法来进行股票市场预测,它结合了长期短期记忆 (LSTM) 和卷积神经网络 (CNN) 模型,并通过新的Aquila循环启发的算法进行了优化. 合并模型显著提高了预测准确性,提供了更好的决策能力.

关键词:
支持矢量机器 (SVM) 是一个支持矢量机器.阿基拉优化器 (AO)循环启发的优化算法 (CIOA)卷积神经网络 (CNN) 是一种神经网络.长时间的短期记忆 (LSTM)

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