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个人简介 Personal Profile 教授，博士，硕士生导师，已培养硕士研究生2人。研究领域包括随机微分方程、神经网络等。主要研究几个典型随机神经网络的稳定性、周期性、吸引子等动力学行为。已主持国家自然科学基金面上项目1项和青年项目1项、湖北省教育厅科学研究重点项目1项和中青年项目1项。  在《Nonlinear Analysis: Real World Applications》、《Applied Mathematicsand Computation》、《Nonlinear Dynamics》、《Neurocomputing》《Chaos, Solitons & Fractals》等国际知名期刊发表学术论文30余篇。承担了本科生的《高等代数》、《复变函数》、《概率论与数理统计》以及研究生《数值分析》等课程的教学工作。 研究方向Research Directions 神经网络的动力学行为 2. 机电结构优化与控制 研究内容：在对机电结构进行分析和优化的基础上，运用控制理论进行结构参数的调整，使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容：以仿生结构为研究对象，运用连续体结构拓扑优化设计理论和方法，对多相仿生结构(机构)材料进行2. 机电结构优化与控制 研究内容：在对机电结构进行分析和优化的基础上，运用控制理论进行结构参数的调整，使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容：以仿生结构为研究对象，运用连续体结构拓扑优化设计理论和方法，对多相仿生结构(机构)材料进行整体布局设计。 整体布局设计。 科研项目 随机延时神经网络的吸引子和分岔，国家自然科学基金11271295随机延时神经网络的吸引子和分岔，省教育厅科研项目D20131602 随机延时神经网络的动力学分析，国家自然科学基金10801109 随机延时神经网络的动力学分析，省教育厅科研项目Q20091705 研究成果 [1]    万立，孙建华，Meansquare exponential stability of stochastic delayed Hopfield neural networks,Physics Letters A.   343 （2005） 306-318.[2]    万立，孙建华，Globalasymptotic stability of Cohen–Grossberg neural network withcontinuously distributed delays,  PhysicsLetters A.   342 （2005）  331-340.[3]    万立，周庆华，Globalexponential stability of BAM neural networks with time-varying delays anddiffusion terms, Physics letters A, 371 (2007) 83–89.  [4]    万立，周庆华，Convergenceanalysis of stochastic hybrid bidirectional associative memory neural networkswith delays, Physics letters A,  370  (2007) 423–432.[5]    万立，周庆华，Meanvalue exponential stability of stochastic reaction-diffusion generalizedCohen-Grossberg neural networks with time-varying delay, International Journalof Bifurcation and Chaos, 17 （2007）  3219–3227.  [6]    万立，周庆华，Exponentialstability of stochastic reaction–diffusion Cohen–Grossberg  neural networks with delays， AppliedMathematics and Computation， 206 (2008) 818–824.[7]    万立，段金桥，Exponentialstability of non-autonomous stochastic partial differential equations withfinite memory,   Statistics &Probability Letters， 78 (2008) 490–498.[8]    万立，周庆华，StochasticLotka_Volterra model with infinite delay，Statistics andProbability Letters， 79 (2009) 698-706.[9]    万立，段金桥，Exponentialstability of the multi-layer quasi-geostrophic ocean model with delays,Nonlinear Analysis：Theory,Methods & Applications ， 71 (2009) 799–811.[10]万立，周庆华，Almost  sure exponential  stability  of stochastic recurrent  neural  networks with time-varying  delays,International Journal of Bifurcation and Chaos,  20(2),  2010,539–544.[11]万立，周庆华， Asymptoticbehaviors of stochastic two-dimensional Navier–Stokes equations with finitememory, Journal of  Mathematical Physics 52, 042703 (2011).[12]万立，周庆华，  Attractor and ultimate boundedness for stochastic cellular neural networkswith delays, Nonlinear Analysis: Real World Applications， 12 (2011) 2561–2566.[13]万立，周庆华,王沛，  Ultimate boundedness ofstochastic Hopfield neural networks with time-varying delays，Neurocomputing 74 (2011) 2967–2971.[14] 万立，周庆华,  Ultimate boundedness of stochastic Hopfieldneural networksSource: Journal of Convergence Information Technology, v 6, n 8, p 244-248,August 2011，EI [15]万立，周庆华,王沛，黎继子，Ultimate boundedness and an attractor for stochastic Hopfield neuralnetworks with time-varying delays，Nonlinear Analysis:Real World Applications 13 (2012) 953–958. [16]万立，周庆华,王沛，Weakattractor for stochastic Cohen–Grossberg neuralnetworkswith delays, Nonlinear Dynamics, 67 (2012) 1753–1759 [17]万立，周庆华, Attractorand boundedness for stochastic Cohen–Grossberg neuralnetworks with delays, Neurocomputing 79 (2012) 164–167 [18] 万立，周庆华,黎继子，Dynamical behaviors of stochastic reaction-diffusion Cohen-Grossbergneural networks with delays，Abstract and AppliedAnalysis Volume 2012, Article ID 369725, 14 pages doi:10.1155/2012/369725 [19] 万立，周庆华, 周志刚，王沛，Dynamical Behaviors of the Stochastic Hopfield NeuralNetworks with Mixed Time Delays，Abstract and Applied Analysis Volume 2013, Article ID 384981, 8pages http://dx.doi.org/10.1155/2013/384981 [20]Li Wan, Qinghua Zhou, Asymptoticbehaviors of stochastic Cohen-Grossberg neural networks with mixed time-delays,Applied Mathematics and Computation 225 (2013) 541-549.[21] Qinghua Zhou, Li Wan(通讯作者), Hongbo Fu, QunjiaoZhang，Pullbackattractor for Cohen–Grossberg neural networks with time-varying delays，Neurocomputing,  171（2016）510-514.     [22]Li Wan, Qinghua  Zhou,Jie Liu，Delay-dependentattractor analysis of Hopfield neural networks with time-varying delays，Chaos, Solitons and Fractals 101 （2017）68-72[23]周庆华，万立(通讯作者)，刘杰. 具有变时滞的神经型Hopfield神经网络的全局吸引子研究. 数学物理学报，2019,39A4：823-831. [24] Li Wan, Qinghua，Stability analysis of neutral-type Cohen-Grossberg neural networks with multipletime-varying delays. IEEE Access 8 (2020) 27618 – 27623. [25] Li Wan, Qinghua Zhou，Attractor analysis of Cohen–Grossberg neuralnetworks with multiple time-varying delays， InternationalJournal of Bifurcation and Chaos, Vol. 31, No. 2 (2021) 2150022 [26]Qinghua Zhou, Li Wan(通讯), Hongbo Fu, Qunjiao Zhang，Exponential stability of stochasticHopfield neural network with mixed multiple delays，AIMS Mathematics, 2021， 6(4): 4142–4155.  学生信息 当前位置：教师主页 > 学生信息 入学日期 所学专业 学号 学位 招生信息 当前位置：教师主页 > 招生信息 招生学院 招生专业 研究方向 招生人数 推免人数 考试方式 招生类别 招生年份