Research on Aesthetics Degree Optimization Model of Product Form

被引:2
|
作者
Li, Ming [1 ]
Zhang, Jie [1 ]
Hou, Yiping [1 ]
机构
[1] East China Univ Sci & Technol, Shanghai 200237, Peoples R China
关键词
Product form; Aesthetic cognition; Back propagation neutral network; Genetic algorithm; Aesthetic degree optimization;
D O I
10.1007/978-3-030-22507-0_16
中图分类号
T [工业技术];
学科分类号
08 ;
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.
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页码:200 / 213
页数:14
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