姓名：王林山


职称：教授、博导


详细信息：
◇ 学历与工作简历
2002年7月毕业于四川大学数学学院运筹学与控制论专业，获理学博士学位。教授，博士生导师。
1977．8—1980．12 在山东理工大学任教；
1980．12—1999．9 在聊城大学任教，历任助教、讲师、 副教授、教授、系副主任、教务处副处长；
1999．9—2002．6 四川大学数学学院运筹学与控制论专业博士研究生,获理学博士学位；
2002．3—2015．3 在中国海洋大学任教，教授、博导、副院长。
20015．3—至今在中国海洋大学任教，教授、博导。

◇ 教学工作
1.本科生课程：高等数学；微积分；常微分方程；专业概览。
2.硕士生课程：动力系统；泛函微分方程；递归神经网络，随机数学, 随机微分方程。
3.博士生课程：遗传算法与人工神经网络；随机动力系统

◇ 从事研究工作方向及在研项目
研究方向：动力系统与神经网络研究；海洋数学技术。
基金项目：
1.主持国家自然科学基金项目《不确定时滞反应扩散神经网络的鲁棒稳定性》批准号：No.**, 金额，24万，起止时间2008.1-2010.12（已结题）；
2.第一主研国家自然科学基金项目《格点动力系统与非线性波动方程的吸引子 》》批准号：**，起止时间 2002.1-2004.12 合作单位四川大学（已结题）；
3．第一主研国家自然科学基金项目《迭代泛函微分方程中的小除数问题和解析解》批准号：**，起止时间 2009.1-2011.12合作单位山东大学.（已结题）
4.主持国家自然科学基金项目《受白噪声扰动的时滞反应扩散递归神经网络的随机稳定性和随机吸引子》No：**，金额，50万，起止时间2012.1-2015.12. （已结题）
5.主持山东省自然科学重点基金项目《随机时滞反应扩散神经网络的非线性动态分析》No：ZR2011AZ001, 金额，10万，起止时间,2012.1-2014.12（已结题）
6.主持国家自然科学基金项目《随机时滞反应扩散Hopfield神经网络的适定性和渐近性研究》No：**，金额，48万，起止时间2018.1-2021.12.


◇ 发表文章及论著（或代表作）
1. 王林山著，时滞递归神经网络，科学出版社，2008年。
2．发表的主要论文:(*表示通讯作者)
[1] Linshan Wang（王林山）and Daoyi Xu，Global exponential stability of Hopfeild reaction-diffusion neural networks with time-varying delays, Science in China(SeriesＦ)，46(2003)6:466-474(SCI IDS: 742CX )
[2] Linshan Wang（王林山）,Comments on ‘Robust stability for interval neural networks with time delay’by X.F.Liao, IEEE Trans. On Neural Networks, 13(2002)1:250-252(SCI IDS: 514LE).
[3] Linshan Wang（王林山）and Daoyi Xu , Asymptotic behavior of a class of reaction-diffusion equations with delays, Journal of Mathematical Analysis and Applications, 2003,281(2):439-453(SCI IDS: 691EF).
[4] 王林山，徐道义，变时滞反应扩散Hopfield神经网络的全局指数稳定性，中国科学（E辑），33（2003）6：488-495。
[5] Linshan Wang（王林山）and Daoyi Xu, Global asymptotic stability of associative memory neural networks with S-type distributed delays, International Journal of Systems Science, 2002,33(11):869-877(SCI IDS: 639KG).
[6] Linshan Wang（王林山）and Daoyi Xu, Stability for Hopfield neural networks with delay, Journal of Vibration and Control, 2002,8(1):13-18(SCI IDS: 530PN).
[7]Linshan Wang（王林山）and Daoyi Xu, Stability analysis of Hopfield neural networks with delay, Applied Mathematics and Mechanics, 2002, 23(1):65-70(SCI IDS: 534QJ).
[8]Shengfan Zhou and Linshan Wang（王林山）, Kernel sections for damped non-autonomous wave equations with critical exponent, Discrete and Continuous Dynamical Systems, 2002, 9(2):399-412(SCI IDS: 640BF).
[9]Linshan Wang（王林山）and Yuying Gao, On global robust stability for interval Hopfield neural networks with delay, Ann. of Diff. Eqs., 19(2003)3:421-426.
[10]Linshan Wang（王林山）and Yuying Gao, Global exponential robust stability of reaction-diffusion interval neural networks with time-varying delays, Physics Letters A, 305（2006）5，343-348（SCI IDS: 009FW）
[11]Min Wang and Linshan Wang*（王林山）, Global asymptotic robust stability of static neural network models with S-type distributed delays, Mathematical and Computer Modelling , 44(2006)2: 218-222 (SCI IDS: 055SX).
[12]Liao Wentong and Linshan Wang（王林山）, Existence and global attractability of almost periodic solution for competitive neural networks with time-varying delays and different time Scales, Advances in Neural Networks,2006, (SCI IDS: BEM20).
[13] 王林山，徐道义，Hopfield型时滞神经网络的定性分析, 应用数学和力学，23(2002)1:59-64（EI）。
[14] Linshan Wang（王林山）, Stochastic exponential stability of the delayed reaction-diffusion recurrent neural networks with Markovian jumping parameters, Physics Letters A, 356（2008）4，346-352（SCI IDS 297MW）
[15]Linshan Wang（王林山）, Robust stability of Cellular neural networks with delay, IET. Control Theory Appl., 18(2007)1, 56-63 (SCI IDS 156RS ).
[16] 周建平，陈红军，王林山，一类变时滞神经网络的全局指数稳定性，控制理论和应用，24（2007）3，431-435(EI)..
[17]Linshan Wang(王林山), Ruojun Zhang and Yangfan Wang, Global exponential stability of reaction-diffusion cellular neural networks with S-type distributed time delays, Nonlinear Analysis,WRA 10(2009): 1101-1113(SCI IDS 390CK).
[18] Linshan Wang(王林山), Yan Zhang, Zhe Zhang, and Yangfan, Wang ，LMI-based approach for global exponential robust stability for reaction-dffusion uncertain neural networks with time-varying delay, Chaos, Solitons and Fractals, 41(2009): 900-905(SCI IDS 462TO).
[19] Linshan Wang(王林山) and Yangfan Wang, LMI-based approach of global exponential robust stability for a class of uncertain distributed parameter control systems with time-varying delays, Journal of Vibration and Control, 15(2009)8: 1173-1185(SCI IDS 475VN).
[20] Wenlin Li and Linshan Wang*(王林山)，Stability and bifurcation of a delayed three-level food chain model with beddington-deangelis functional response,Nonlinear Analysis,WRA 10(2009): 2471-2477(SCI IDS 429HJ).
[21] Ruojun Zhang and Linshan Wang*(王林山)，Global exponential robust stability of interval cellular neural networks with S-type distributed delays, Mathematical and Computer Modelling, 50(2009)3: 380-385(SCI IDS 463YJ ).
[22]Linshan Wang(王林山) and Yangfan Wang， Global exponential stabilization for a class of distributed parameter systems with Markovian jumping parameters and time-varying delay, Journal of Vibration and Control，17(2011)6:873-880.SCI.
[23] Yangfan Wang, Chunge Lu, Guangrong Ji, Linshan Wang(王林山), Global exponential stability of high-order Hopfield-type neural networks with S-ditributed time delays, Commun Nonlinear Sci Numer Simulat, 16(2011)3319-3325,SCI.
[24] Yangfan Wang，Linshan Wang*（王林山），Pin Lin. Exponential stability of reaction–diffusion high-order Markovian jump Hopfield neural networks with time-varying delays. Nonlinear Analysis, RWA, 2012，13(3)：1353-1361, SCI .
[25] Yangfan Wang, Linshan Wang*（王林山）. LMI-Based Approach for Exponential Robust Stability of High-Order Hopfield Neural Networks with Time-Varying Delay. Journal of Applied Mathematics, Volume 2012 ：1-8，SCI.
[26] Weiwei Zhang, Linshan Wang*（王林山）. Robust Stochastic Stability Analysis for Uncertain Neutral-Type Delayed Neural Networks Driven by Wiener Process. Journal of Applied Mathematics, Volume 2012：1-12，SCI.
[27] Ruojun Zhang, Nan Ding, Linshan Wang*（王林山）. Mean Square Almost Periodic Solutions for Impulsive Stochastic Differential Equations with Delays. Journal of Applied Mathematics, Volume 2012：1-8, SCI.
[28] Linshan Wang（王林山）, Jili Wang. Stability in Lagrange Sense for a Class of Stochastic Static Neural Networks with Mixed Time Delays. Ann. of Diff. Eqs, 2014，30(2)：184-190.
[29] 梁霄，*王林山，刘云龙. 时滞反应扩散Hopfield神经网络的滑动模控制.控制理论和应用. 2012，29(1)：47-52, EI.
[30] Chunge Lu, Linshan Wan*g（王林山）. Robust Exponential Stability of Impulsive Stochastic Neural Networks with Leakage Time-Varying Delay. Abstract and Applied Analysis, Volume 2014: 1-8，SCI.
[31] Ruojun Zhang, Fuyun Lian, *Linshan Wang（王林山）. The Existence and Uniqueness of Positive Periodic Solutions for a Class of Nicholson-Type Systems with Impulses and Delays. Abstract and Applied Analysis, Volume 2013:1-10, SCI.
[32] Linshan Wang（王林山）, Guiying Chen. Global Exponential Robust Stability of Static Interval Neural Networks with Time Delay in the Leakage Term. Journal of Applied Mathematics, Volume 2014: 1-8 ，SCI .
[33] Chunge Lu, Linshan Wang*（王林山）. Exponential Stability of Stochastic MJSNNs with Partly Unknown Transition Probabilities. Volume 2013: 729-735，EI,SCI.
[34] Linshan Wang（王林山）, Xiao Liang. Exponential Stability for a Class of Stochastic Reaction-Diffusion Hopfield Neural Networks with Delays. Journal of Applied Mathematics, Volume 2012: 1-12，SCI.
[35] Ruojun Zhang，Tengda Wei. Advances in Positive periodic solution for Nicholson-type delay systems with impulsive effects. Journal of Difference Equations, 2015,(371):1-16，SCI.
[36] Xiao Liang，Linshan Wang*（王林山）, Yangfan Wang, Rili Wang. Dynamical Behavior of Delayed Reaction–Diffusion Hopfield Neural Networks Driven by Infinite Dimensional Wiener Processes. IEEE Transactions on Neural Networks and Learning Systems, Volume 2016:，27（9）1816-1826, SCI.
[37] Linshan Wang(王林山), Quisen Ma, Exponential Stability of Stochastic Cohen-Grossberg-Tpye Ban Neural Networks with S-Type Distributed Delays, Communications in Applied Analysis, 2015, 19(2):343-352 Math SCI.
[38] Seng Wang, Linshan Wang*(王林山)，Tengdai Wei，Optimal Harvesting for a Stochastic Predator-prey Model with S-type Distributed Time Delays.Methodology and Computing Probability,24, 2016, Dol:1007/s 11009-9519-2, pp:1-32.SCI.
[39] Seng Wang , Linshan Wang*(王林山)，Tengda Wei，T，Well-Posedness and Aymptotic Behaviors for a Predator-Prey System with Levy Noise. Methodology and Computing Probability,24, 2016, Dol:1007/s 11009-016-9509-4, pp:1-11.SCI
[40] Seng Wang , Linshan Wang*(王林山)，Tengda Wei Optimal harvesting for a stochastic logistic model with S-type distributed time delay. Journal of Difference Equations and Applications, Doi:10.1.2016.**, pp:1-15.SCI.
[41] 王林山. 一类随机偏泛函微分方程Mild解的全局适定性和稳定性.中国科学A辑:数学, 2017, 47(3):371-382.
[42] Tengda Wei, Yangfan Wang, Linshan Wang*((王林山), Existence, uniqueness and stability to stochastic reaction-diffusion Cohen-Grossbery neural networks with delays and Wiener processes, Neurocomputing.2017, 239:19-27.SCI.[43] Tengda Wei, Linshan Wang*(王林山), Ping Lin, Jialing Chen,Yangfan Wang,?and Haiyong Zheng, Learning Non Negativity Constrained Variation for Image Denoising and Deblurring,
Numer. Math. Theor. Meth. Appl. 2017, 10(4):.852-871: SCI.
[44] Tengda Wei, Qi Yao, Ping Lin, Linshan Wang*(王林山), Adaptive synchronization of stochastic complex dynamical networks and its application, Neural Computing and Applications,2017, 1-16, https://doi.org/10.1007/s00521-018-3501-6. SCI.
[45]Tengda Wei · Sheng Wang · Linshan Wang0*(王林山), 2Permanence and extinction of stochastic competitive Lotka–Volterra system with Lévy noise, J. Appl. Math. Comput. 2018, 57: 667–683。SCI

[46] Tengda Wei, Yangfan Wang, Linshan Wang*(王林山),5Robust Exponential Synchronization for Stochastic Delayed Neural Networks with Reaction–Diffusion Terms and Markovian Jumping Parameters,6Neural Process Lett. 2018, 48:979–994. SCI.

[47] TengdaWei , Ping Lin, Quanxin Zhu, LinshanWang*(王林山) and YangfanWang, ).,Dynamical Behavior of Nonautonomous Stochastic Reaction–Diffusion Neural-Network Models, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 30(5):1575-1580.SCI.

[48] Tengda Wei, Ping Lin, Yangfan Wang, Linshan Wang*(王林山), Stability of stochastic impulsive reaction–diffusion neural networks with S-type distributed delays and its application to image encryption, Neural Networks,2019, 116: 35-45.SCI.

[49] Sheng Wang, Linshan Wang*(王林山), Tengda Wei, A Note on a Competitive Lotka-Volterra Model with L′evy Noise, Filomat, 2017 31(12): 3741–3748.SCI.

[50] ShengWang, LinshanWang,*(王林山)·TengdaWei, Well-Posedness and Asymptotic Behaviors
for a Predator-Prey System with L′evy Noise, Methodol Comput Appl Probab, 2017, 19:715–725.SCI.

[51] Sheng Wang, Linshan Wang*(王林山), Tengda Wei, Sucient and Necessary Conditions of Stochastic Permanence and Extinction for Stochastic Logistic Model with Markovian Switching and L′evy Noise, Filomat, 2017 31(18): 5869–5883.SCI.

[52] Sheng Wang, Linshan Wang*(王林山),Tengda Wei, Permanence and extinction of stochastic competitive Lotka–Volterra system with Lévy noise, J. Appl. Math. Comput., 2018, 57:667–683.SCI

[53] Sheng Wang, Linshan Wang*(王林山), Tengda Wei, Optimal Harvesting for a Stochastic Predator-prey Model with S-type Distributed Time Delays, Methodol Comput Appl Probab, 2018, 20:37–68.SCI.

[54] Sheng Wang, Linshan Wang*(王林山),Tengda Wei, Permanence and asymptotic behaviors of stochastic predator–prey system with Markovian switching and Lévy noise, Physica A, 2018, 495: 294-311. SCI.

[55] Sheng Wang, Guixin Hu, Linshan Wang*(王林山),Tengda Wei, Stability in distribution of a stochastic predator–prey system with S-type distributed time delays,Physica A, 2018, 505: 919-930. SCI.

[56] Sheng Wang, Guixin Hu, Linshan Wang*(王林山), Stability in Distribution of a Stochastic Competitive Lotka-Volterra System with S-type Distributed Time Delays, Methodol Comput Appl Probab, 2018, 20:1241–1257. SCI.

[57] Qi Yao , Linshan Wang*(王林山), Existence–uniqueness and stability of reaction–diffusion stochastic Hopfield neural networks with S-type distributed time delays, Neurocomputing,2018, 275: 470–477 SCI.

[58] Qi Yao , Linshan Wang*(王林山),Periodic solutions to stochastic reaction-diffusion neural networks with S-type distributed delays, IEEE Access, 2019, DOI10.1109/ACCESS.2019.**, SCI.

[59] Qi Yao , Linshan Wang*(王林山),Periodic solutions to impulsive stochastic reaction-diffusion neural networks with delays,Communications in Nonlinear Science and Numerical Simulation, Volume 78, November 2019,https://doi.org/10.1016/j.cnsns.2019.104865.SCI.
[60] M. Syed Ali , L. Palanisamy , J. Yogambigai ,Linshan Wang*(王林山), Passivity-based synchronization of Markovian jump complex dynamical networks with time-varying delays, parameter
uncertainties, reaction–diffusion terms, and sampled-data control, Journal of Computational and Applied Mathematics, 2019, https://doi.org/10.1016/j.cam.2018.10.047.SCI


◇ 获奖项目及奖励等级、荣誉称号

2005年获得青岛市专业技术拔尖人才。
2005年获中国海洋大学优秀教师。
2007年获中国海洋大学优秀共产党员。
2007年获交通银行教师奖励基金三等奖励。
2010年获中国海洋大学教材一等奖。
2015年获秦元勋奖

◇ 国内外学术团体职务等
任山东省数学会微分方程专业委员会副理事长；美国数学会会员；IEEE会员；美国数学评论员。