| 姓名:黄振坤
职务:硕士生导师 博士生导师
职称:教授
电子邮箱:hzk974226@jmu.edu.cn
所属教研室:数据科学与大数据技术
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■ 个人简介
黄振坤,集美大学,教授。美国《Mathematical Review》评论员。2010年列入福建省高校杰出青年科研人才培育计划;2011年入选福建省新世纪优秀科研人才培养计划;2012年获福建省青年五四奖章;2014年评为福建省优秀教师荣誉称号。主持福建省自然科学基金项目3项,国家自然科学基金项目2项,其中福建省杰青基金项目1项。在测度链上微分方程、神经网络及复杂网络稳定性分析等领域作了一些研究工作,获福建省科技进步奖(自然科学奖)三等奖一项。在IEEE Transactions on Cybernetics、IEEE Transactions on Neural Networks、IEEE Transactions on Circuits and Systems-I: Regular Papers、IEEE Transactions on Neural Networks and Learning Systems和Information Sciences等期刊上发表50余篇论文。
■ 科研(教学)项目、成果及专利等
参与以下科研项目:
[1]福建省自然科学基金项目,测度链上量化反馈控制系统的稳定性分析及其应用,编号:2019J01330.
[2]国家自然科学基金项目,测度链上复杂网络同步的多重稳定性及基于阻碍集的同步控制,编号:61573005.
[3]国家自然科学基金项目,随机泛函微分方程P-均值概周期解多重性及指数型二分性,编号:11101187.
[4]福建省自然科学基金杰青项目,测度链上微分方程对称共生解和吸引子摄动稳定性,编号:2012J06001.
[5]国家自然科学基金项目,脉冲时滞方程解的振动研究,编号:11361010.
[6]国家自然科学基金项目,脉冲时滞微分方程概周期解理论及其应用研究,编号:10961005.
[7]福建省自然科学基金项目,神经网络共生吸引子演化性态研究及其应用,编号:2009J05009.
[8]福建省新世纪人才支持计划项目,基于模糊-神经网络的船舶动力系统能耗建模研究,编号:JA11144.
[9]福建省高校杰出青年科研人才培育计划项目,神经网络P-均值概周期解及其多重性研究,编号:JA10184.
[10]福建省教育厅项目(面上),测度链上微分方程的多重周期解和相关的分支问题,编号:JA11154.
[11]福建省教育厅项目(面上),具有智能学习行为的神经网络研究,编号:JA07142.
■ 发表论文及著作等情况
[1]Zhenkun Huang, Xinghua Wang, Chunhua Feng, Multiperiodicity of periodically oscillated discrete-time neural networks with transient excitatory self-connections and sigmoidal nonlinearities,IEEE Transactions on Neural Networks, 21(2010), 1643-1655.
[2]Zhenkun Huang, Youssef N Raffoul, Changyuan Cheng, Scale-limited activating sets and multiperiodicity for threshold-linear networks on time scales,IEEE Transactions on Cybernetics, 44(2014), 488-499.
[3]Zhenkun Huang,Qiankun Song, Chunhua Feng, Multistability in networks with self-excitation and high-order synaptic connectivity,IEEE Transactions on Circuits and Systems-I: Regular Papers, 57(2010), 2144-2155.
[4]Zhenkun Huang, Sannay Mohamad, Xinghua Wang, Chunhua Feng, Convergence analysis of general neural networks under almost periodic stimuli,International Journal of Circuit Theory and Applications, 37(2009), 723–750.
[5]Zhenkun Huang, Xinghua Wang, Chunhua Feng, Self-excitation of neurons leadsto multiperiodicity of discrete-time neural networks with distributed delays,Science China-Information Sciences, 54(2011), 305-317
[6]Zhenkun Huang, Chunhua Feng,Sannay Mohamad, Multistability analysis for a general class of delayed Cohen-Grossbergneural networks,Information Sciences, 187(2012), 233-244.
[7]Zhenkun Huang, Jinde Cao, YoussefN Raffoul,Hilger-type impulsive differential inequalities and its application to impulsive synchronization of delayed complex networks on time scales, Science China Information Sciences, 61(2018),1-3.
[8]Zhenkun Huang,Honghua Bin, Jinde Cao, Boyu Wang, Synchronization networks with proportional delays based on a class of q-type allowable time scales, IEEE Transactions on Neural Networks and Learning Systems, 29(2018),3418-3428.
[9]Qiang Xiao,Zhenkun Huang, Zhigang Zeng, Passivity analysis ofmemristor based inertial neural networks with discrete and distributed delays,IEEE Transactions on Systems Man and Cybernetics: Systems, 49(2019), 375-385.
[10]Qiuyuan Chen,Honghua Bin,Zhenkun Huang, Synchronization of CVNNs: Atime-scale impulsive strategy,IEEE Access, 9(2021), 31762-31772.
■ 荣誉奖励及参加学术团体的情况