The effect of pre-processing techniques and optimal parameters on BPNN for data classification

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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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Bibliographic Details
Main Author:	HUSSEIN, AMEER SALEH
Format:	Thesis
Language:	English English English
Published:	2015
Subjects:	QA76 Computer software
Online Access:	http://eprints.uthm.edu.my/1294/ 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

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