感性工学
感性
纹理(宇宙学)
人工智能
计算机科学
基础(线性代数)
人工神经网络
图像(数学)
语义差异
选择(遗传算法)
感知
多维标度
模式识别(心理学)
工程制图
计算机视觉
机器学习
数学
工程类
人机交互
心理学
统计
几何学
神经科学
作者
Yan Zhou,Ruo Yue Tang,Ping Yang
出处
期刊:Advanced Materials Research
日期:2013-06-27
卷期号:712-715: 2900-2905
被引量:2
标识
DOI:10.4028/www.scientific.net/amr.712-715.2900
摘要
In order to precisely describe material texture image and establish a quantitative relationship of the materials objective parameters and the subjective feeling, here, this article takes the typical plastic material as example and uses the method related with Kansei Engineering as study method. The study of material texture image experiment was conducted by discriminate analysis, cluster analysis, multidimensional scaling, semantic differential method and so on to quantified consumers perceptual cognitive on materials, and to build a mathematical model by neural network. This study could provide a theoretical basis for materials selection in industrial design.
科研通智能强力驱动
Strongly Powered by AbleSci AI