Deep learning approaches for MIMO time-series analysis
Deep learning approaches for MIMO time-series analysis
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Publisher
Universitas Ahmad Dahlan
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Language
English
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Publisher
Universitas Ahmad Dahlan
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Contents
This study presents a comparative analysis of various deep learning (DL) methods for multi-input and multi-output (MIMO) time-series forecasting of stock prices. The analysis is conducted on a dataset comprising the stock price of Bitcoin. The dataset consists of 2950 rows from December 2017 to December 2021. This study aims to evaluate the perform...
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Full title
Deep learning approaches for MIMO time-series analysis
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TN_cdi_doaj_primary_oai_doaj_org_article_be9a9e9b658949d2b121c0eb6bcc45e6
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_be9a9e9b658949d2b121c0eb6bcc45e6
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ISSN
2442-6571
E-ISSN
2442-6571
DOI
10.26555/ijain.v9i2.1092
