文献类型：期刊文献

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 University of Science and Technology, Shanghai, 200237, China

年份：2019

卷号：11571 LNAI

起止页码：200

外文期刊名：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

收录：EI(收录号：20193107251064)

语种：英文

外文关键词：Cluster analysis - Product design

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. ? Springer Nature Switzerland AG 2019.