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王嬈芬，副教授🧘♀️。華東理工大學模式識別與智能系統工學博士。中共黨員
從事專業：自動化專業
電話：15801948325 郵箱☝️：rfwangsues@163.com
研究方向
進化計算與智能建模、腦電、心電等生理電信號分析、操作員疲勞評估
個人簡介
1983年出生，2012年獲華東理工大學模式識別與智能系統工學博士。主要從事進化計算與智能建模🙆🏿♂️、腦電等生理電信號分析、操作員疲勞識別等方向研究🧛🏽♂️。近年，主持完成上海市教委“優青”項目1項，參與了“基於操作員功能狀態實時監測的復雜人機系統適應性自動化”👩🏼🦱、“復雜人機系統的智能化建模與控製理論研究”等5項國家自然科學基金項目。發表論文20余篇🧑🏼🍳， 在“Integrated Computer Aided Engineering🍉，1區”🤘、“Biomedical Signal Processing and Control”等期刊發表論文🤵♂️🙋♀️，其中SCI收錄論文4篇🈯️，EI收錄論文9篇，授權實用新型1項，軟件著作權授權2項。
主要成果
一👩🏼✈️、代表性論文：
1.Raofen Wang*, Yu Zhang, Liping Zhang, An adaptive neural network approach for operator functional state prediction using psychophysiological data, Integrated Computer-Aided Engineering , 2016, 1(23): 81-97. (SCI 1區, IF: 4.698).
2.Raofen Wang, Jianhua Zhang, Yu Zhang, Xingyu Wang*, Assessment of human operator functional state using a novel differential evolution optimization based adaptive fuzzy model, Biomedical Signal Processing and Control, 7(5), pp. 490-498, 2012. (SCI, IF: 1.074)
3.Wei Xu, Raofen Wang, Jiarong Yang, An improved league championship algorithm with free search and its application on production scheduling, Journal of Intelligent Manufacturing, 2018, 29(1): 165-174 (SCI, IF: 3.667)
4.Raofen Wang*, We Xu, Liping Zhang. A hybrid quantum neural network based on extreme learning machine and its application on assessment of operator functional state. ICIC Express Letters, 11(9): 3107-3112, 2015.