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[1]邵宏宇,孟 琦,赵 楠,等.基于BP神经网络的产品性能满意度预测分析[J].天津大学学报(自然科学与工程技术版),2019,52(09):932-940.[doi:10.11784/tdxbz201809052]
 Shao Hongyu,Meng Qi,Zhao Nan,et al.Prediction and Analysis of Product Performance Satisfaction Based on Backpropagation Neural Network[J].Journal of Tianjin University(Science and Technology),2019,52(09):932-940.[doi:10.11784/tdxbz201809052]
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基于BP神经网络的产品性能满意度预测分析

参考文献/References:

[1] Berman B. Should your firm adopt a mass customization strategy?[J]. Business Horizons,2002,45(4):51-56.
[2] 邢德强. 复杂机械产品性能驱动设计方法及其典型应用研究[D]. 天津:天津大学机械工程学院,2010. Xing Deqiang. Study on Method of Performance Driving Design for Complex Mechanical Product and Typical Application[D]. Tianjin:School of Mechanical Engineering,
Tianjin University,2010(in Chinese).
[3] Nikolaidis E,Long L,Qi L. Neural networks and response surface polynomials for design of vehicle joints[J]. Computers & Structures,2000,75(6):593-607.
[4] Xu K,Xie M,Tang L C,et al. Application of neural networks in forecasting engine systems reliability[J]. Applied Soft Computing Journal,2003,2(4):255-268.
[5] Nada O A,Elmaraghy H A,Elmaraghy W H. Quality prediction in manufacturing system design[J]. Journal of Manufacturing Systems,2006,25(3):153-171.
[6] 刘振宇,周思杭,谭建荣,等. 基于多准则修正的产品性能多参数关联分析与预测方法[J]. 机械工程学报,2013,49(15):105-114. Liu Zhenyu,Zhou Sihang,Tan Jianrong,et al. Multiple parameters correlation analysis and prediction method of product performance based on multi-criteria modification[J] Journal of Mechanical Engineering,2013,49(15):105-114(in Chinese).
[7] 崔文华,刘晓冰,王 伟,等. 基于递阶支持向量机的产品族配置性能预测[J]. 计算机集成制造系统,2013,19(8):2000-2006. Cui Wenhua,Liu Xiaobing,Wang Wei,et al. Configurationperformance predication method of product family based on hierarchical support vector machine[J]. Computer Integrated Manufacturing Systems,2013,19(8):2000-2006(in Chinese).
[8] Williams P,Naumann E. Customer satisfaction and business performance:A firm‐level analysis[J]. Journal of Services Marketing,2011,25(1):20-32.
[9] 范志君,姜兆亮,李 智. 基于性能满意度的产品配置与变型设计范围界定算法[J]. 农业机械学报,2012,43(8):198-204. Fan Zhijun,Jiang Zhaoliang,Li Zhi. Product configuration and variant design’s scope definition algorithm based on customers’ performance satisfaction[J]. Transactions of the Chinese Society for Agricultural Machinery,2012,43(8):198-204(in Chinese).
[10] 李伟英,韦元升. 基于用户满意度的某手动档车型换档性能优化[J]. 时代汽车,2017(12):71-73. Li Weiying,Wei Yuansheng. Shift performance optimization of a manual gear vehicle based on user satisfaction[J]. Auto Time,2017(12):71-73(in Chinese).
[11] 杨德清,张 静,郭 伟,等. 基于在线产品社区的动态用户需求Kano 模型构建研究[J]. 机械设计,2018,35(3):12-19. Yang Deqing,Zhang Jing,Guo Wei,et al. Research on dynamic Kano model construction of customer requirements based on online product community[J]. Journal of Machine Design,2018,35(3):12-19(in Chinese).
[12] 范炜昊,徐 健. 基于网络用户评论情感计算的用户痛点分析——以手机评论为例[J]. 情报理论与实践,2018(1):94-99. Fan Weihao,Xu Jian. Users’ pain-point analysis based on the sentiment calculation of web users’ comments:Taking cell phone comments as examples[J]. Information Studies:Theory & Application,2018(1):94-99(in Chinese).
[13] 刘 丹,张玉红,闫相斌. 在线评论的产品缺陷识别方法[J]. 黑龙江科技大学学报,2017,27(6):698-704. Liu Dan,Zhang Yuhong,Yan Xiangbin. Product defect recognition method for online reviews[J]. Journal of Heilongjiang University of Science and Technology,2017,27(6):698-704(in Chinese).

[14] 张 璐,吴菲菲,黄鲁成. 基于用户网络评论信息的产品创新研究[J]. 软科学,2015,29(5):12-16. Zhang Lu,Wu Feifei,Huang Lucheng. Research on product innovation based on online user reviews[J]. Soft Science,2015,29(5):12-16(in Chinese).
[15] Zhang Hui,Rao Huguang,Feng Junzheng. Product innovation based on online review data mining:A case study of Huawei phones[J]. Electronic Commerce Research,2018(3):3-22.
[16] Nikumanesh E,Bohlouli M,Fathi M. Knowledge discovery from online customer reviews towards product improvement[C]//13th International Conference Applied Computing 2016 Proceedings. Germany,2016:211-214.
[17] Rumelhart D E,Hinton G E,Williams R J. Learning representations by back-propagating errors[J]. Nature,1986,323(6088):399-421.
[18] 李少波,全华凤,胡建军,等. 基于在线评论数据驱动的产品感性评价方法[J]. 计算机集成制造系统,2018,24(3):752-762. Li Shaobo,Quan Huafeng,Hu Jianjun,et al. Perceptual evaluation method of products based on online reviews data driven[J]. Computer Integrated Manufacturing Systems,2018,24(3):752-762(in Chinese).
[19] 何 勇,张学利. 汽车动力性现状分析[J]. 公路交通科技,2001,4(2):74-77 He Yong,Zhang Xueli. Current status analysis of dynamic performance of motor vehicle[J]. Journal of Highway and Transportation Research and Development,2001,4(2):74-77(in Chinese).
[20] 郑 浩. 不确定条件下复杂产品性能增强设计理论、方法及其应用研究[D]. 杭州:浙江大学机械工程学院,2017. Zheng Hao. Research on the Theory,Method and Application of Performance Enhancement Design for Complex Product Under Uncertain Conditions[D].
Hangzhou : School of Mechanical Engineering ,Zhejiang University,2017(in Chinese).

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备注/Memo

通信作者:郭 伟,wguo@tju.edu.cn.

更新日期/Last Update: 2019-07-14