Hybrid system of expert system and artificial neural networks for objective evaluation of product sensuous quality

Su, Z and Su, D ORCID: 0000-0002-9541-8869, 2001. Hybrid system of expert system and artificial neural networks for objective evaluation of product sensuous quality. Inzenyrska Mechanika, 8 (4), pp. 105-112. ISSN 1210-2717

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Abstract

Basic problems and the bottleneck of current approaches for objective assessment of product sensuous quality (PSQ) are discussed. As a solution, a new approach, an expert system (ES) based on artificial neural networks (ANNs) is proposed, in which the ES and ANNs co-operate in a superiority compensation way. T he knowledge base of the system can be effectively built and the evaluation of PSQ can be conducted on-line. As a case study, the new approach has been applied in leather handle test and it proves that the approach is capable of handling non-linear relationships among multiple measured PSQ parameters.

Item Type: Journal article
Alternative Title: Engineering Mechanics [parallel language title]
Publication Title: Inzenyrska Mechanika
Creators: Su, Z. and Su, D.
Publisher: Akademie Ved Ceske Republiky [Association for Engineering Mechanics]
Place of Publication: Brno, Czech Republic
Date: 2001
Volume: 8
Number: 4
ISSN: 1210-2717
Divisions: Schools > School of Architecture, Design and the Built Environment
Depositing User: EPrints Services
Date Added: 09 Oct 2015 10:18
Last Modified: 09 Jun 2017 13:25
URI: http://irep.ntu.ac.uk/id/eprint/10807

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