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| 运用模糊神经网络的汽车座椅舒适性评价 | |
| 引用本文： | 李培松,马佳,杨海霞,苏强.运用模糊神经网络的汽车座椅舒适性评价[J].工业工程,2010,13(1):97-100. |
| 作者姓名： | 李培松 马佳 杨海霞 苏强 |
| 作者单位： | 1. 上海交通大学,工业工程与物流工程系,上海,200240 2. 李尔中国工程技术中心,上海,201200 3. 常州纺织服装职业技术学院,江苏,常州,213100 |
| 基金项目： | 国家自然科学基金资助项目(70672077) |
| 摘 要： | 汽车座椅舒适性受到消费者的高度关注。由于复杂性和主观性等因素的影响,使得汽车座椅舒适度评价成为座椅制造企业和整车企业的一个技术难点。提出一种基于模糊神经网络的座椅舒适度评价模型,应用8个座椅压力分布参数和2个人体参数等对座椅舒适性进行综合评价。实例分析显示:与普通BP网络模型对比,模糊神经网络模型具有更好的预测效果。 |
| 关 键 词： | 汽车座椅 舒适性 模糊神经网络 |
Comfort Evaluation of Automobile Seats by Using Fuzzy Neural Networks |
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| Li Pei-song,Ma Jia,Yang Hai-xia,Su Qiang.Comfort Evaluation of Automobile Seats by Using Fuzzy Neural Networks[J].Industrial Engineering Journal,2010,13(1):97-100. | |
| Authors: | Li Pei-song Ma Jia Yang Hai-xia Su Qiang |
| Affiliation: | 1.Department of Industrial Engineering and Logistics Management;Shanghai JiaoTong University;Shanghai 200240;China;2.Lear China Shanghai Engineering Center;Shanghai 201200;3.Changzhou Textile Garment Institute;Changzhou 213100;China |
| Abstract: | Comfort of auto seats is an important issue for auto manufacturing.However,it is difficult to evaluate it due to the technical complexity and subjectivity.To solve this problem,a fuzzy neural network(FNN) model is developed for automobile seat comfort evaluation by comprehensively considering seat pressure distribution and human parameters.Case studies show that the FNN model is superior to a general BP neural network model. |
| Keywords: | automobile seat comfort fuzzy neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |