The optimization design of product form and its application based on BP-GA-CBR
Most of the innovation designs of mechanical and electrical products are willing to take an improved design of the present products, which not only inherit the advantages of the current products, but also improve the efficiency and reliability of the design. Optimum method of evolutionary design scheme by feature lines and colour based on CBR is studied. This paper provides the division and quantification of product form element, the method and process of extracting form feature lines of case products. The double models of BP neural network of corresponding relation of feature lines, colour parameters and form perceptual image, and of form perceptual image, product function, product capability and performance and product sales is founded, which is further taken as fitness function of GA. The application process of this method is illustrated by an example of innovation design of family car form.
the Innovation of product form genetic algorithms BP neural network case-based reasoning family car form
Xiaoan Yang Jingjing Song Bingbing Wang Yingchao Hui
School of Science Changan University Xian, China School of Engineering Machinery Changan University Xian, China
国际会议
浙江义乌
英文
244-249
2010-11-17（万方平台首次上网日期，不代表论文的发表时间）