A Quantitative Method on Formative Elements Optimization of Car Styling Design
According to the basic principles of Kansei Engineering and BP neural network, the article establishes a non-linear relationship between the user’s perceptual evaluation and the car’s formative element. It also builds a strong anti-interference black box model, which may work out the precise value of the formative elements by the perceptual evaluations. The paper also discusses the model with deductive method, and the results show that the quantization and transformation in body design can be effectively solved by the method based on BP neural network and Kansei Engineering.
BP neural network Kansei Engineering Formative element Quantization
Li Zhuo Xia Jinjun
School of Automotive Engineering, Wuhan University of Technology, Wuhan, China College of Arts, Chongqing University, Chongqing, China
国际会议
沈阳
英文
748-752
2010-07-28（万方平台首次上网日期，不代表论文的发表时间）