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

Su, Z and Su, D ORCID: https://orcid.org/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

Preview

Text 186064_3742 Su Publisher.pdf Download (181kB) | Preview

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
Record created by:	EPrints Services
Date Added:	09 Oct 2015 10:18
Last Modified:	09 Jun 2017 13:25
URI:	https://irep.ntu.ac.uk/id/eprint/10807

Actions (login required)

Edit View

Statistics

Views

Downloads