Neural network and principle component analysis based numerical data analysis for stock market prediction with machine learning techniques
Financial market prediction is gaining attention throughout the market phenomena since various applicable techniques within soft-computational methods have been analyzed to define the optimization. The study of this experimental research focused on two benchmark numerical stock market dataset (S&a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
American Scientific Publishers
2019
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/76579/ http://irep.iium.edu.my/76579/ http://irep.iium.edu.my/76579/ http://irep.iium.edu.my/76579/1/rabiul-paper.pdf http://irep.iium.edu.my/76579/7/76579_Neural%20network%20and%20principle%20component%20analysis%20based%20numerical%20data%20analysis%20for%20stock%20market%20prediction%20with%20machine%20learning%20techniques_Scopus.pdf |
Internet
http://irep.iium.edu.my/76579/http://irep.iium.edu.my/76579/
http://irep.iium.edu.my/76579/
http://irep.iium.edu.my/76579/1/rabiul-paper.pdf
http://irep.iium.edu.my/76579/7/76579_Neural%20network%20and%20principle%20component%20analysis%20based%20numerical%20data%20analysis%20for%20stock%20market%20prediction%20with%20machine%20learning%20techniques_Scopus.pdf