Feature selection for neural network based defect classification of ceramic components using high frequency ultrasound-Reference-Cited by-同舟云学术

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Feature selection for neural network based defect classification of ceramic components using high frequency ultrasound

Published:2015-09 Issue: Volume:62 Page:271-277
ISSN:0041-624X
Container-title:Ultrasonics
language:en
Short-container-title:Ultrasonics

Author:

Kesharaju Manasa,Nagarajah Romesh

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics

Reference41 articles.

1. Ultrasonic Nondestructive Evaluation of Armor Ceramics;Brennan,2007

2. G.L. Workman, D. Kishoni, P.O. Moore, Ultrasonic Testing, American Society for Nondestructive Testing, 2007.

3. Feature Extraction: Foundations and Applications;Isabelle,2006

4. FS_SFS: A novel feature selection method for support vector machines;Liu;Pattern Recogn.,2006

5. Statistical pattern recognition: a review;Jain;IEEE Trans. Pattern Anal. Mach. Intell.,2000

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