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Predicting Leather Handle like an Expert by Artificial Neural Networks

Wang, Yijun, Picton, Phil D., Turner, Scott J., Attenburrow, Geoff (2011) Predicting Leather Handle like an Expert by Artificial Neural Networks. Applied Artificial Intelligence, 25 (2). pp. 180-192. ISSN 0883-9514. (doi:10.1080/08839514.2011.545218) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30847)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1080/08839514.2011.545218

Abstract

This study developed an artificial neural network model to predict the subjective assessment of leather handle by an expert using its measurable physical characteristics. A statistical method was applied to prune the inputs of the network and the “error band” conception was proposed during training.

Item Type: Article
DOI/Identification number: 10.1080/08839514.2011.545218
Subjects: H Social Sciences
H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Divisions > Kent Business School - Division > Kent Business School (do not use)
Depositing User: Catherine Norman
Date Deposited: 21 Sep 2012 13:24 UTC
Last Modified: 16 Feb 2021 12:42 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/30847 (The current URI for this page, for reference purposes)
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