Feature Selection For The Fuzzy Artmap Neural Network Using A Hybrid Genetic Algorithm And Tabu Search [QA76.87. T164 2007 f rb].

Tang, Weng Chin (2007) Feature Selection For The Fuzzy Artmap Neural Network Using A Hybrid Genetic Algorithm And Tabu Search [QA76.87. T164 2007 f rb]. Masters thesis, Universiti Sains Malaysia.

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Abstract

Prestasi pengelas rangkaian neural amat bergantung kepada set data yang digunakan dalam process pembelajaran. Secara praktik, set data berkemungkinan mengandungi maklumat yang tidak diperlukan. Dengan itu, pencarian ciri merupakan suatu langkah yang penting dalam pembinaan suatu pengelas berdasarkan rangkaian neural yang efektif. The performance of Neural-Network (NN)-based classifiers is strongly dependent on the data set used for learning. In practice, a data set may contain noisy or redundant data items. Thus, feature selection is an important step in building an effective and efficient NN-based classifier.

Item Type:	Thesis (Masters)
Subjects:	Q Science > QA Mathematics > QA76.75-76.765 Computer software
Divisions:	Pusat Pengajian Sains Komputer (School of Computer Sciences) > Thesis
Depositing User:	ARKM Al Rashid Automasi
Date Deposited:	21 Feb 2009 00:11
Last Modified:	14 Apr 2017 12:18
URI:	http://eprints.usm.my/id/eprint/8145

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