胡凯 - 南京信息工程大学 - 信息与控制学院

个人简介

中国计量学院电子仪器及测量技术本科南京气象学院系统分析与集成硕士研究生东南大学仪器科学与技术学院博士研究生

研究领域

智能装备、机器人

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

胡凯，严昊，夏旻，等，2017.基于迁移学习的卫星云图云分类[J].大气科学学报，40（6）：856-863.Hu K,Yan H,Xia M,et al.,2017. Satelite Imagery cloud classification based on transfer learning[J]. Trans Atmos Sci.40(6)：856-863. Kai Hu,etc,An Optimization Strategy for Weighted Extreme Learning Machine based on PSO,International Journal of Pattern Recognition and Articial Intelligence, Vol. 31, No.1(2017),DOI:10.1142/S0218001417510016;(SCI) Kai Hu,An Image Filter Based on Shearlet Transformation and Particle Swarm Optimization Algorithm, Mathematical Problems in Engineering,vol 2015, Article ID 414561, Page9, DOI:10:1155/2015/ 414561;(SCI) Hu K, Song A G, Zhang Y C, et al. Delay-range-dependent Stability Criteria of Neural Networks with Time-varying Discrete and Distributed Delays[J]. Int J Adv Robot Syst, 2014,11: 23.DOI:10.5772/53817;(SCI) Hu K, Song A G, Wang W L, et al. Fault detection and estimation for non-Gaussian stochastic systems with time varying delay[J].Advances in Difference Equations.2013,2013(1):1-12. DOI:10.1186/1687-1847-2013-22;(SCI) Hu K, Song A, Xia M, et al.An adaptive filtering algorithm based on genetic algorithm-backpropagation network[J]. Mathematical Problems in Engineering, 2013, 2013.DOI: 10.1155/2013/573941;(SCI) Kai Hu, AiGuo Song, WeiLiang Wang, Ling Tan, "Algorithm for Natural Object Recognition based on Local Fratctal Dimension",IJACT, Vol.4. No.20,pp.149~155,2012,DOI:10.4156/ijact.vol4.issue20.18; (EI) Kai Hu, Aiguo Song, Dan Mao, Ling Tan, Le Yang, "An Optimal wavelet basis for ECG Compressed Sensing", JDCTA: International Journal of Digital Content Technology and its Applications, Vol. 7, No. 7, pp. 594 ~ 602, 2013；(EI) 胡凯, 张颖超, 钱蕾. 最优小波尺度空间的图像边缘检测方法,南京信息工程大学学报，2011,3(3):259-264; 胡凯,张颖超.生化分析仪的设计及与PC机的通信.微计算机信息.22（4-1）：208-209; Kai Hu, Wei Feng Chen, Dan Mao, Zi Chen Zheng, Jing Yi Duan, An New Image Feature Based on ROLD, Advanced Materials Research,2013,774-776,162, DOI:10.4028/www.scientific.net/AMR.774-776.1625；(EI)