The Impact of Normalization Techniques on Performance Backpropagation Networks
Neural networks (NN) are computational models with the capacity to learn, generalize and the most used are multi- layer perceptrons (MLP). Building successful NN applications depends on several aspects such as the process of acquiring, modeling and selecting the appropriate model. The data needs t...
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Format: | Thesis |
Language: | eng eng |
Published: |
2004
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Online Access: | https://etd.uum.edu.my/1394/1/NORLIDA_BT._HASSAN.pdf https://etd.uum.edu.my/1394/2/1.NORLIDA_BT._HASSAN.pdf |
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