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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| தலைமை எழà¯à®¤à¯à®¤à®¾à®³à®°à¯: | |
|---|---|
| வடிவமà¯: | Thesis |
| மொழி: | English English |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
2004
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| பகà¯à®¤à®¿à®•à®³à¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•à®²à¯: | http://etd.uum.edu.my/1394/ http://etd.uum.edu.my/1394/1/NORLIDA_BT._HASSAN.pdf http://etd.uum.edu.my/1394/2/1.NORLIDA_BT._HASSAN.pdf |
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