Feature analysis: neural network and fuzzy set theoretic approaches

De, Rajat K. ; Pal, Nikhil R. ; Pal, Sankar K. (1997) Feature analysis: neural network and fuzzy set theoretic approaches Pattern Recognition, 30 (10). pp. 1579-1590. ISSN 0031-3203

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Official URL: http://linkinghub.elsevier.com/retrieve/pii/S00313...

Related URL: http://dx.doi.org/10.1016/S0031-3203(96)00190-2

Abstract

In this paper a new scheme of feature ranking and hence feature selection using a Multilayer Perception (MLP) Network has been proposed. The novelty of the proposed MLP-based scheme and its difference from another MLP-based feature ranking scheme have been analyzed. In addition we have modified an existing feature ranking/selection scheme based on fuzzy entropy. Empirical investigations show that the proposed MLP-based scheme is superior to the other schemes implemented.

Item Type:Article
Source:Copyright of this article belongs to Elsevier Science.
Keywords:Feature Ranking; Feature Selection; Neural Networks; Fuzziness Measure
ID Code:26068
Deposited On:06 Dec 2010 13:09
Last Modified:17 May 2016 09:25

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