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A CIMB Stock Price Prediction Case Study with Feedforward Neural Network and Recurrent Neural Network

Artificial Neural Network (ANN) is one of the popular techniques used in stock market price prediction. ANN is able to learn from data pattern and continuously improves the result without prior information about the model. The two popular variants of ANN architecture widely used are Feedforward Neur...

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Bibliographic Details
Main Authors: Kim Soon Gan, Chin Kim On, Rayner Alfred, A. Patricia, J. Teo
Format: Article
Language:English
English
Published: Universiti Teknologi Malaysia Melaka (UTeM)
Online Access:https://eprints.ums.edu.my/id/eprint/25233/1/A%20CIMB%20Stock%20Price%20Prediction%20Case%20Study%20with%20Feedforward%20Neural%20Network%20and%20Recurrent%20Neural%20Network.pdf
https://eprints.ums.edu.my/id/eprint/25233/7/A%20CIMB%20Stock%20Price%20Prediction%20Case%20Study%20with%20Feedforward%20Neural%20Network%20and%20Recurrent%20Neural%20Network1.pdf
https://eprints.ums.edu.my/id/eprint/25233/
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https://eprints.ums.edu.my/id/eprint/25233/1/A%20CIMB%20Stock%20Price%20Prediction%20Case%20Study%20with%20Feedforward%20Neural%20Network%20and%20Recurrent%20Neural%20Network.pdf
https://eprints.ums.edu.my/id/eprint/25233/7/A%20CIMB%20Stock%20Price%20Prediction%20Case%20Study%20with%20Feedforward%20Neural%20Network%20and%20Recurrent%20Neural%20Network1.pdf
https://eprints.ums.edu.my/id/eprint/25233/

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