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Abstract

Study on product appearance modeling of knowledge base system based on case product appearance characteristics of knowledge meta-information

Author(s): Fan Li

Product design is a process that according to usersÂ’ demand, the designers show the demand with their own design language; it is a combination of the design knowledge and usersÂ’ knowledge. In order to reduce the labor of the designers and to make them more relax, then the application of computer aided design is needed, which not only reduce the labor in terms of basic knowledge design, but also very useful for design quality and efficiency. This study focuses on how to complete the developmental work of product appearance modeling of knowledge base system based on case product appearance characteristics of knowledge meta-information. There are a variety of needed digital tools, such as Microsoft Access, Visual c + +, ADO, etc. The first step is to start from how to effectively obtain product test samples; generally speaking, there are multidimensional scaling and clustering methodology. And then through the experiment determine the Metadata of sampleÂ’s appearance modeling characteristics element, this study used the method of combination of benchmark and similar values. The next step is to determine the overall weight and the application of optimizing the product appearance modeling. Finally, to establish BPN model by MATLAB, synthesize the characteristics of usersÂ’ requirements, to better optimize target function, and to develop product appearance modeling knowledge base system with vc6 + + 6.0. This study takes the appearance of the printers as an example to explain the using process of the whole product appearance modeling of knowledge base system.


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Citations : 875

BioTechnology: An Indian Journal received 875 citations as per Google Scholar report

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  • CASS
  • Google Scholar
  • Open J Gate
  • China National Knowledge Infrastructure (CNKI)
  • CiteFactor
  • Cosmos IF
  • Directory of Research Journal Indexing (DRJI)
  • Secret Search Engine Labs
  • Euro Pub
  • ICMJE

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