教师名录

张淼 讲师


研究方向数据驱动软测量,智能优化与机器学习,目标检测与分类识别
办公地址浙江省杭州市西湖区留和路318号浙江科技学院C1-213室
电子邮件zhangmiao@zust.edu.cn

  • 教育经历

    2009-2013 浙江大学 控制科学与工程学院 本科 2013-2018 浙江大学 控制科学与工程学院 博士
  • 工作经历

    2018-至今 浙江科技学院 讲师
  • 科研方向

    数据驱动软测量; 智能优化与机器学习; 目标检测与分类识别
  • 科研成果

    Journal Paper 1. Miao Zhang, Xinggao Liu, Zeyin Zhang. A novel modeling approach and its application in polymer quality index prediction, Transactions of the Institute of Measurement and Control, 2018, DOI: 10.1177/0142331218793486. 2. Miao Zhang, Xinggao Liu. A real-time model based on optimized least squares support vector machine for industrial polypropylene melt index prediction, Journal of Chemometrics, 2016, 30(6): 324-331. 3. Miao Zhang, Xinggao Liu, Zeyin Zhang. A soft sensor for industrial melt index prediction based on evolutionary extreme learning machine, Chinese Journal of Chemical Engineering, 2016, 24(8):1013-1019. 4. Miao Zhang, Beibei Zhao, Xinggao Liu. Predicting industrial polymer melt index via incorporating chaotic characters into Chou's general PseAAC, Chemometrics and Intelligent Laboratory Systems, 2015, 146: 232-240. 5. Wenchuan Wang, Miao Zhang, Xinggao Liu. Improved fruit fly optimization algorithm optimized wavelet neural network for statistical data modeling for industrial polypropylene melt index prediction, Journal of Chemometrics, 2015, 29(9):506-513. 6. Wenchuan Wang, Hongmei Chen, Miao Zhang, Xinggao Liu, Zeyin Zhang and Youxian Sun. Application of Takagi–Sugeno fuzzy model optimized with an improved Free Search algorithm to industrial polypropylene melt index prediction, Transactions of the Institute of Measurement and Control, 2017, 39(11):1613–1622.
  • 教授课程

    工业生产过程原理(本科生专业课,大三)
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