Internet-based intensive product design platform for product design

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

18 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)7-15
Journal / PublicationKnowledge-Based Systems
Volume16
Issue number1
Publication statusPublished - Jan 2003

Abstract

For overcoming the limitations of traditional computer aided design platform, a framework of the Internet-based intensive product design platform (IPDP) is proposed. The structure of IPDP and the key issues regarding its implementation are introduced. Further, the mean of knowledge storage, acquisition, and representation are portrayed in detail. Based on the concept of function driven, connected artificial neural networks and active server pages techniques, a novel method of knowledge search over the Internet is achieved. Finally, a prototype to demonstrate the feasibility of the structure and the constructional method of IPDP is developed. © 2003 Elsevier Science B.V. All rights reserved.

Research Area(s)

  • Artificial neural network, Internet-based, Knowledge engineering, Product design, Standard for the exchange of product model data

Citation Format(s)

Internet-based intensive product design platform for product design. / Zhou, Shouqin; Chin, Kwai-Sang; Yarlagadda, Prasad K.D.V.

In: Knowledge-Based Systems, Vol. 16, No. 1, 01.2003, p. 7-15.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review