摘要
在感性工学的研究领域中,类神经网络被认为是颇具潜力的分析工具。为了降低产品配色的意象偏差,基于配色理论设计问卷,配合类神经遗传模拟消费者的意象评价,提供符合产品形态的配色建议,并在此基础上提出了计算机辅助配色设计系统的框架和实现方法。
Artificial Neural Network （ANN） has been considered as a better analytic tool in the field of Kansei Engineering research. In order to minimize the image deviation due to the color combination, advice suitable for individual product type was put forward based on poll survey of consumer＇s image evaluation according to the theory of neural network and genetic algorithm. A structure of computer aided color design system was constructed on the basis of the developed methods and associated algorithms.
出处
《包装工程》
CAS
CSCD
北大核心
2007年第5期91-93,共3页
Packaging Engineering
基金
湖北省建设厅推广项目(20031g0083)
关键词
色彩意象
配色
倒传递神经网络
通传算法
color images
color combination
back-propagation neural network
genetic algorithm
