家庭服务机器人整体造型感性设计的BP神经网络应用  

BP Neural Network for the Overall Shape Perceptual Design of Home Service Robots

作　　者：朱彦[1] 

机构地区：[1]上海电机学院,上海200245

出　　处：《包装工程》2018年第4期151-154,共4页Packaging Engineering

基　　金：863计划资助项目(2007AA041600);教育部高等学校青年骨干教师国内访问学者项目(A1-5201-15-001-06)

摘　　要：目的建立用户的感性意象与家庭服务机器人整体造型设计要素之间的逻辑关系。方法基于技术支撑的约束得到家庭服务机器人整体造型设计样本,运用主成分分析法、形态分析法和BP神经网络对整体造型设计要素与感性意象进行量化分析。结论用训练后的BP神经网络进行预测模拟,为家庭服务机器人整体造型的较"亲和的"感性风格设计提供了参考依据。The logical relationship between users perceptual image and the design elements of home service robots is established. The samples of overall shape of home service robots are obtained based on the constraints of technical support, and the relationship between the design elements of overall shape and the perceptual image is analyzed quantitatively by using the methods of principal component analysis, morphological analysis and BP neural network. The trained BP neural network is used to predict the simulation, which provides a reference for the more amiable style of the overall shape of home service robots.

关 键 词：家庭服务机器人 感性工学 主成分分析法 形态分析法 BP神经网络 

分 类 号：TB472[一般工业技术—工业设计]