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基于BP神经网络的办公椅触觉舒适性评价
引用本文:贾萍,申黎明.基于BP神经网络的办公椅触觉舒适性评价[J].家具,2014(4):27-32.
作者姓名:贾萍  申黎明
作者单位:南京林业大学家具与工业设计学院,南京210037
基金项目:湖州市重点科技创新团队项目(2013KC09); 江苏省高校优势学科建设工程资助项目(PAPD)
摘    要:为分析办公椅触觉舒适性的影响因素,采用办公椅温觉特性和体压分布实验,提取相应评价指标及其参数,最终构造BP神经网络模型。通过BP仿真测试,网络训练成功,验证了各个样本的预测值与真实值十分相近,表明BP网络经有效训练后可应用于办公椅触觉舒适性评价。

关 键 词:办公椅  触觉舒适性  舒适性评价  BP神经网络

The Tactile Comfortableness Evaluation of Office Chair Based on BP Neural Network
JIA Ping,SHEN Liming.The Tactile Comfortableness Evaluation of Office Chair Based on BP Neural Network[J].Fumiture,2014(4):27-32.
Authors:JIA Ping  SHEN Liming
Affiliation:(College of Furniture and Industrial Design, Nanjing Forestry University, Nanjing 210037, China)
Abstract:Based on the analysis of the factors affecting the tactile comfortableness and the experimental study on the thermal characteristics and body pressure distribution of the office chair,the BP neural network model was constructed by extracting the corresponding evaluation index and its parameters.It is verified that the prediction value of each sample is nearly equal to the real value by the successful trained network after simulation test.Case studies show that the effective trained BP network can be used in the tactile comfortableness evaluation of office chairs.
Keywords:office chair  tactile comfortableness  comfortableness evaluation  BP neural network
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