文献类型：会议论文

英文题名：Research on Aesthetics Degree Optimization Model of Product Form

作者：Li, Ming[1];Zhang, Jie[1];Hou, Yiping[1]

机构：[1]East China Univ Sci & Technol, Shanghai 200237, Peoples R China

会议论文集：16th International Conference on Engineering Psychology and Cognitive Ergonomics (EPCE) Held as Part of the 21st International Conference on Human-Computer Interaction (HCII)

会议日期：JUL 26-31, 2019

会议地点：Orlando, FL

语种：英文

外文关键词：Product form; Aesthetic cognition; Back propagation neutral network; Genetic algorithm; Aesthetic degree optimization

摘要：A good product design should be a beautiful design. In order to evolve product form based on aesthetic feeling, a comprehensive evolution method of form aesthetic degree was established based on BP neutral network and genetic algorithm. Firstly, the index knowledge of aesthetic degree was constructed and representative aesthetics degree index was selected for target product, thus index dimension were reduced and then validate the rationality of cognition logic through cluster analysis and structural equation model. Secondly, BP neutral network was used to construct aesthetic degree evaluation system of product form, so that it can be built relationship between explicit product form and implicit aesthetic sense. Finally, The aesthetics degree optimization prototype system was build through combine evaluation model with evolution model by BP neutral network and genetic algorithm, respectively. Taking the teapot as a research case, the result showed that TADOPS system could provide effective aids for product.