Feature ranking through weights manipulations for artificial neural networks-based classifiers

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Feature ranking through weights manipulations for artificial neural networks-based classifiers

Artificial Neural Networks (ANNs) are often viewed as black box. This limits the comprehensive understanding on how it deals with input neuron/data, as well as how it reached a particular decision. Input significance analysis (ISA) refers to the process of understanding these input neurons/data. An...

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Bibliographic Details
Main Authors:	Hassan, Raini, Hassan, Wan Haslina, Alshaikhli, Imad Fakhri Taha, Ahmad, Salmiah, Alizadeh, Mojtaba
Other Authors:	Al-Dabass, David
Format:	Proceeding Paper
Language:	English English
Published:	The Institute of Electrical and Electronics Engineers 2014
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/37854/ http://irep.iium.edu.my/37854/1/Feature_Ranking_Through_Weights_Manipulations_for_Artificial_Neural_Networks-.pdf http://irep.iium.edu.my/37854/4/37854.pdf

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