融合混合智能方法和多用户意象的色彩决策系统
发布时间：2018-10-17 20:13
【摘要】：产品色彩意象通过情感认知传达消费者的色彩需求,为探讨用户的色彩意象与色彩需求间的内在关联,准确把握消费群体对产品色彩的情感意象,将多用户色彩意象作为决策因素,提出一个基于混合智能方法的色彩决策系统.该系统采用自适应策略调整惯性权重和混沌序列产生学习因子,提出粒子群改进算法;将改进的粒子群算法用于优化径向基人工神经网络,并建立预测模型;通过模型预测得到各用户的需求色彩;利用模糊C-均值聚类方法从需求色彩中提取用于产品设计的决策色彩.通过汽车外饰色彩的测试与评估结果表明,文中建立的色彩预测模型性能卓越,决策的色彩用户满意度较好,可设计出符合消费者真实意象需求的色彩方案,并为各类产品色彩的设计提供理论指导.
[Abstract]:The product color image conveys the consumer's color demand through the emotion cognition, in order to probe into the inherent relation between the user's color image and the color demand, the consumer group's emotion image to the product color is accurately grasped. A color decision system based on hybrid intelligent method is proposed, which takes multi-user color image as decision factor. The adaptive strategy is used to adjust the inertia weight and the learning factor of chaotic sequence, and an improved particle swarm optimization algorithm is proposed, which is used to optimize the radial basis function artificial neural network and establish the prediction model. The demand color of each user is obtained by model prediction, and the decision color for product design is extracted from the demand color by fuzzy C- mean clustering method. The test and evaluation results of automobile exterior decoration color show that the color prediction model established in this paper has excellent performance and the color user satisfaction of decision making is better, and the color scheme can be designed to meet the needs of consumers' real image. And for all kinds of product color design to provide theoretical guidance.
【作者单位】： 赣南师范大学物理与电子信息学院;南昌大学机电工程学院;南京林业大学信息科学技术学院;
【基金】：国家自然科学基金(51663001,51463015,51377025) 江西省教育厅科学技术研究项目(GJJ151012,GJJ150983)
【分类号】：TB472
本文编号：2277829
[Abstract]:The product color image conveys the consumer's color demand through the emotion cognition, in order to probe into the inherent relation between the user's color image and the color demand, the consumer group's emotion image to the product color is accurately grasped. A color decision system based on hybrid intelligent method is proposed, which takes multi-user color image as decision factor. The adaptive strategy is used to adjust the inertia weight and the learning factor of chaotic sequence, and an improved particle swarm optimization algorithm is proposed, which is used to optimize the radial basis function artificial neural network and establish the prediction model. The demand color of each user is obtained by model prediction, and the decision color for product design is extracted from the demand color by fuzzy C- mean clustering method. The test and evaluation results of automobile exterior decoration color show that the color prediction model established in this paper has excellent performance and the color user satisfaction of decision making is better, and the color scheme can be designed to meet the needs of consumers' real image. And for all kinds of product color design to provide theoretical guidance.
【作者单位】： 赣南师范大学物理与电子信息学院;南昌大学机电工程学院;南京林业大学信息科学技术学院;
【基金】：国家自然科学基金(51663001,51463015,51377025) 江西省教育厅科学技术研究项目(GJJ151012,GJJ150983)
【分类号】：TB472
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1 赖朝安;基于混合智能的产品设计方法及系统研究[J];机电产品开发与创新;2005年05期
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