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...

書誌詳細
第一著者:	HUSSEIN, AMEER SALEH
フォーマット:	Dissertation
言語:	英語英語英語
出版事項:	2015
主題:	QA76 Computer software
オンライン･アクセス:	http://eprints.uthm.edu.my/1294/
Abstract	Abstract here

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