Northampton Electronic Collection of Theses and Research

Predicting leather handle like an expert by artificial neural networks

Wang, Y., Picton, P., Turner, S. J. and Attenburrow, G. E. (2011) Predicting leather handle like an expert by artificial neural networks. Applied Artificial Intelligence. 25(2), pp. 180-192. 0883-9514.

Item Type: Article
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
Subjects: T Technology > TS Manufactures > TS967 Chemistry and science of leather
T Technology > TS Manufactures > TS965 Leather technology
Q Science > QA Mathematics > QA75 Electronic computers. Computer science > QA76.87 Neural networks
Creators: Wang, Y, Picton, Philip, Turner, Scott J and Attenburrow, Geoff E
Publisher: Taylor & Francis
Faculties, Divisions and Institutes: University Faculties, Divisions and Research Centres - OLD > School of Science and Technology (2010-2016)
Faculties > Faculty of Arts, Science & Technology > Computing
Faculties > Faculty of Arts, Science & Technology > Environmental Science
Date: February 2011
Date Type: Publication
Page Range: pp. 180-192
Journal or Publication Title: Applied Artificial Intelligence
Volume: 25
Number: 2
Language: English
DOI: https://doi.org/10.1080/08839514.2011.545218
ISSN: 0883-9514
Status: Published / Disseminated
Refereed: Yes
URI: http://nectar.northampton.ac.uk/id/eprint/3737

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