The effect of pre-processing techniques and optimal parameters on BPNN for data classification
The architecture of artificial neural network (ANN) laid the foundation as a powerful technique in handling problems such as pattern recognition and data analysis. It’s data-driven, self-adaptive, and non-linear capabilities channel it for use in processing at high speed and ability to learn the sol...
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| Format: | Thesis |
| Language: | en en en |
| Published: |
2015
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| Online Access: | http://eprints.uthm.edu.my/1294/2/AMEER%20SALEH%20HUSSEIN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1294/1/24p%20AMEER%20SALEH%20HUSSEIN.pdf http://eprints.uthm.edu.my/1294/3/AMEER%20SALEH%20HUSSEIN%20WATERMARK.pdf http://eprints.uthm.edu.my/1294/ |
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