Input significance analysis: feature ranking through synaptic weights manipulation for ANNS-based classifiers

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Input significance analysis: feature ranking through synaptic weights manipulation for ANNS-based classifiers

Due to the ANNs architecture, the ISA methods that can manipulate synaptic weights selected are Connection Weights (CW) and Garson’s Algorithm (GA). The ANNs-based classifiers that can provide such manipulation are Multi Layer Perceptron (MLP) and Evolving Fuzzy Neural Networks (EFuNNs). The goals f...

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Bibliographic Details
Main Authors:	Hassan, Raini, Taha Alshaikhli, Imad Fakhri, Ahmad, Salmiah
Format:	Article
Language:	English
Published:	University of El Oued 2017
Subjects:	Q Science (General) QA Mathematics
Online Access:	http://irep.iium.edu.my/61236/ http://irep.iium.edu.my/61236/1/2945-7342-1-PB.pdf

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