专家简介
  • 姓  名:
  • 苑进
  • 性  别:
  • 职  务:
  • 院长助理
  • 职  称:
  • 副教授
  • 专  业:
  • 机电控制,智能控制
  • 单  位:
  • 山东农业大学
  • 电子邮件:
  • j.yuan72@gmail.com
  • 现研究领域:
  • 智能农机装备
  • 个人简介:
  • 工学博士,1996年在山东农业大学获农业机械化工程专业学士学位;2001年在山东科技大学获计算机应用专业硕士学位;2008年在上海大学获机械制造及其自动化专业博士学位,2008.9-2011.1在上海交通大学做博士后研究。主要从事智能农机装备、智能非线性系统建模与优化等方面的研究。主持中国博士后基金1项,作为主要完成人参与了863重点项目、科技部成果转化项目、自然科学基金等多项科研课题,在农业工程、机械制造、智能控制等领域的著名国际期刊和会议上发表了30 余篇SCI/EI 论文,申请8 项专利,授权4 项。作为主要贡献人员分别在2009年和2011年获得了国家科技进步奖二等奖2 项。近年来,国内外著名期刊IEEE Transactions on Neural Networks、Engineering Applications of Artificial Intelligence、农业机械学报等的审稿人。
  • 主要著作:
  • 【1】Yuan Jin, Wang Kesheng, Yu Tao and Fang Minglun, Reliable multi-objective optimization of high-speed WEDM process based on Gaussian process regression, International Journal of Machine Tools and Manufacture. Volume 48, Issue 1, 2008, Pages 47-60. 引用25次
    【2】Yuan Jin, Liu Cheng-Liang, Li Yan-Ming, Zeng Qingbing, Xuan F. Zha, Gaussian processes based bivariate control parameters optimization of variable-rate granular fertilizer applicator, Computers and Electronics in Agriculture, Volume 70, Issue 1, January 2010, Pages 33-41.
    【3】Yuan Jin, Bo Liefeng, Wang Kesheng and Yu Tao. 2007. Adaptive Spherical Gaussian Kernel in Sparse Bayesian Learning Framework for Nonlinear Regression. Expert System with Applications, Volume 36, Issue 2, Part 2, March 2009, Pages 3982-3989. 引用8次
    【4】Yuan Jin, Cheng-Liang; Liu, Xuemei; Wang, Kesheng; Yu, Tao. “Incorporating prior model into Gaussian processes regression for WEDM process modeling”, Expert System with Applications, Volume 36, Issue 4, (2009), Pages 8084-8092 . 引用1次
    【5】Yuan Jin, Wang Kesheng, Yu Tao and Fang Minglun, 2007. "Integrating relevance vector machines and genetic algorithms for optimization of seed-separating process", Engineering Applications of Artificial Intelligence, Vol. 20, no. 7, pp. 970-979. 引用21次
    【6】Yuan Jin, Li Yanming, Liu Chengliang, Xuan F. Zha: Leave-One-Out Cross-Validation Based Model Selection for Manifold Regularization. Advances in Neural Networks - ISNN 2010 - 7th International Symposium on Neural Networks 2010. PP: 457-464.
    【7】Yuan Jin, Liu Chengliang, Xuan F. Zha: Relevance vector machines based modelling and optimisation for collaborative control parameter design: a case study. International Journal of Computer Applications in Technology, 36(3/4): 191-199 (2009).
    【8】Yuan Jin, Wang Kesheng, Yu Tao and Liu Xuemei, “Step-Spreading Map Knowledge Based Multi-Objective Genetic Algorithm for Robot-Path Planning”, IEEE International Conference on Systems, Man and Cybernetics (SMC 2007), Montreal, Canada (Oct. 2007). pp.3402-3407, ISBN 1-4244-0991-8.
    【9】Yuan Jin, Yu Tao, Wang Kesheng, and Liu Xuemei. “Adaptive Spherical Gaussian Kernel for fast Relevance Vector Machine Regression”, The 7th World Congress on Intelligent Control and Automation (WCICA'08), 2008, p 2071-2076.
    【10】Yuan Jin, Wang Kesheng, Yu Tao and Liu Xuemei. "Incorporating fuzzy prior knowledge into Relevance Vector Machine regression," Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on , vol., no., pp.510-515, 1-8 June 2008.
    【11】Yuan Jin, Tao Yao, Wang Kesheng. 2006. A hybrid intelligent approach for optimal control of seed cleaner. In Proc. of IFIP TC5 International Conference of Prolamat.2006: Springer, pp780-785.
    【12】Yuan Jin, Xu Zhi-Ming, Liu Cheng-Liang, He Chuang-Xin, CBM based semi-supervised learning and its model selection for fault diagnosis and knowledge fusion, International Workshop of Advanced Manufacturing and Automation (IWAMA2010),pp:42-50.
    【13】苑进,刘成良,刘建政等.基于ARM和DSP的双变量施肥控制系统设计与试验.农业机械学报,2010,41(S):233-238.
    【14】苑进,古玉雪,刘成良.ARM/DSP双变量施肥系统标定与排肥量误差补偿控制,中国农业工程学会电气信息与自动化专委会2010年学术年会
    【15】苑进,刘成良,古玉雪,基于相关向量机的双变量施肥控制序列优化,农业机械学报,2011, 42(Z1): 184-189,171.
    【16】苑进,刘雪美,江涛. 遥感图像中多分类问题的树型RBF神经网络方法[J], 农业工程学报, 2004,(05) . pp. 173-177.
    【17】苑进; 刘雪美; 李进京; 侯存良, 基于神经网络建模的种子精选机遗传最优控制, 农业工程学报, 2003(1), pp.76~79.
    【18】刘成良, 周俊, 苑进, 黄丹枫, 新型冲量式谷物联合收割机精准智能测产系统研究,中国科学:信息科学, 2010,40: 226-231.
  • 主要科研成果及获得的奖励:

  • 成果及奖励
    【1】土壤作物信息采集与肥水精量实施关键技术及装备 获2011年国家科技进步奖二等奖 第5位项目完成人
    【2】高性能尾气净化器柔性制造关键技术及成套装备 获2009年国家科技进步奖二等奖 第6位项目完成人