Neural network and principle component analysis based numerical data analysis for stock market prediction with machine learning techniques

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...

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Bibliographic Details
Main Authors: Islam, Mohammad Rabiul, Taha Alshaikhli, Imad Fakhri, Mohd Nor, Rizal, Tumian, Afidalina
Format: Article
Language:English
English
Published: American Scientific Publishers 2019
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://irep.iium.edu.my/76579/
http://irep.iium.edu.my/76579/12/76579_Neural%20Network%20and%20Principle%20Component_article%20for%20MYRA%20new.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

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