摘要
针对汽车座椅舒适度评价方法研究的不足,探讨压力分布与舒适度之间的关系;引入人工神经网络,建立了基于BP神经网络的汽车座椅舒适度评价模型。通过真人真车实验获取36组样本数据,对神经网络进行训练并建立了评价模型。实例验证该模型能够根据座椅压力分布较为准确地预测出座椅舒适度水平。
This paper investigates the relationship between the surface pressure and the corresponding comfort level of automobile seats. A model for evaluating the comfort level is constructed based on artificial neural networks. 36 samples are used to train the neural network. It is demonstrated that the model can be used to predict the comfort level.
出处
《工业工程》
2008年第5期106-109,共4页
Industrial Engineering Journal
基金
国家自然科学基金资助项目(70672077)
关键词
汽车座椅舒适度
BP神经网络
压力特征
评价模型
automobile seat comfort
artificial neural network
pressure distribution
evaluation model
