Internet-based intensive product design platform for product design

Shouqin Zhou, Kwai-Sang Chin, Prasad K.D.V. Yarlagadda

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    18 Citations (Scopus)

    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.
    Original languageEnglish
    Pages (from-to)7-15
    JournalKnowledge-Based Systems
    Volume16
    Issue number1
    DOIs
    Publication statusPublished - Jan 2003

    Research Keywords

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

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