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Pawitra et al., 2024 - Google Patents

Predicting Stock Market using CNN and BiLSTM Model

Pawitra et al., 2024

Document ID
13824652280842446651
Author
Pawitra M
Fakhrurroja H
Abdurrahman L
Publication year
Publication venue
2024 International Conference on Computer, Control, Informatics and its Applications (IC3INA)

External Links

Snippet

This study explores the efficacy of two deep learning models, Convolutional Neural Network (CNN) is a deep learning model primarily designed for recognizing patterns in data through convolutional layers. and Bidirectional Long Short-Term Memory (BiLSTM) is an advanced …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/06—Investment, e.g. financial instruments, portfolio management or fund management
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06Q40/04—Exchange, e.g. stocks, commodities, derivatives or currency exchange
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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