Output details
12 - Aeronautical, Mechanical, Chemical and Manufacturing Engineering
University of Northampton
Article title
Predicting Leather Handle like an Expert Artificial Neural Networks
Type
D - Journal article
Title of journal
Applied Artificial Intelligence
Article number
-
Volume number
25
Issue number
2
First page of article
180
ISSN of journal
1087-6545
Year of publication
2011
URL
-
Number of additional authors
3
Additional information
The quality of leather is usually judged by experts in the industry. This paper reports on a method of automating the process using a neural network model. The inputs are measurable physical characteristics of the leather, and the output is a numerical value which corresponds to the quality of the material. The importance of this research lies in the fact that the expertise could be automated, and that the method could easily be reproduced for other materials which rely on human quality assessment.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
