摘要
运用形态控制参数表达产品的形态要素,提出一种基于美学特征的工业缝纫机参数化外形设计方法.修改模型特征参数,可生成不同形态的缝纫机外形;将模型特征参数及对应的美学评价结果作为训练样本,构建了基于神经网络的美学评价系统.最后利用该评价系统给出了最佳美学评价指标下的缝纫机外形模型.
A method of aesthetic feature-based parametric shape design for industrial sewing machines is presented using the shape control parameters to express aesthetic factors of the products. By revising the feature parameters of the model, differente styles of industrial sewing machines can be generated. Taking the feature parameters and the corresponding model＇s aesthetic evaluation values as training samples, an evaluation system is built based on artificial neural network （ANN）. Finally the best sewing machine is determined by the evaluation system.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2007年第11期1447-1453,共7页
Journal of Computer-Aided Design & Computer Graphics
基金
国家"八六三"高技术研究发展计划(2006AA04Z113)
关键词
工业美学设计
形态要素
特征参数
人工神经网络
美学评价
industrial aesthetic design
aesthetic factor
feature parameter
artificial neural network （ANN）
aesthetic evaluation
