A study of neural-network-based classifiers for material classification

A study of neural-network-based classifiers for material classification

In this paper, the performance of the commonly used neural-network-based classifiers is investigated on solving a classification problem which aims to identify the object nature based on surface features of the object. When the surface data is obtained, a proposed feature extraction method is used t...

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Bibliographic Details
Main Authors: Lam, H., Ekong, U., Liu, H., Xiao, B., Araujo, H., Ling, S.H., Chan, Kit Yan
Format: Journal Article
Published: Elsevier BV 2014
Subjects:
Neural Networks
Material Classification
Classifier
Online Access:http://hdl.handle.net/20.500.11937/5196

Internet

http://hdl.handle.net/20.500.11937/5196

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