Robust backpropagation neural network using date palm seed growth algorithm for stock market prediction
Backpropagation Neural Network (BPNN) is one of the most commonly used models for stock market prediction due to its ability as universal estimators. However, the Ordinary Least Squares (OLS)-based training in BPNN leads to nonrobust weightage estimates in the presence of outliers. Consequently, it...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2025
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| Online Access: | https://etd.uum.edu.my/11954/1/depositpermission.pdf https://etd.uum.edu.my/11954/2/s829882_01.pdf https://etd.uum.edu.my/11954/ |
| Abstract | Abstract here |
