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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Universiti Teknologi Malaysia Melaka (UTeM)
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| 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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