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Support vector machine-based stock market prediction using long short-term memory and convolutional neural network with aquila circle inspired optimization.

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第一作者： J,Karthick Myilvahanan

第一单位： Department of Computer Science and Engineering, Karpagam Academy of Higher Education, Coimbatore, India.

作者： J,Karthick Myilvahanan ^[1] ; N,Mohana Sundaram ^[1]

作者单位： Department of Computer Science and Engineering, Karpagam Academy of Higher Education, Coimbatore, India. ^[1]

关键词 Support vector machine (SVM)aquila optimizer (AO)circle inspired optimization algorithm (CIOA)convolutional neural network (CNN)long short-term memory (LSTM)

DOI 10.1080/0954898X.2024.2358957

PMID 38855971

发布时间 2025-08-06

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Network (Bristol, England)

2025年36卷3期

1185-1220页

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Network (Bristol, England)

2025年36卷3期

1185-1220页

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Support vector machine-based stock market prediction using long short-term memory and convolutional neural network with aquila circle inspired optimization.

Network (Bristol, England)

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Support vector machine-based stock market prediction using long short-term memory and convolutional neural network with aquila circle inspired optimization.

Network (Bristol, England)

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Network (Bristol, England)

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