金海和 百科内容来自于: 百度百科

教育背景

1986年9月至1990年7月
东北大学自控系学士
本科
1995年9月至1997年7月
日本宫崎大学工学研究科
硕士
1997年9月至2000年7月
日本宫崎大学工学研究科
博士

主要研究兴趣

公共政策与管理、运筹学与控制论、供应链管理、战略联盟、系统工程、
优化技术、信息技术等。

讲授课程

公共部门决策理论与方法;决策理论;组合优化与算法;公共政策分析;民族行政学。

国外学习、工作经历

留学日本;在北辰商事株式会社从事物流信息系统、商品数据库的维护、管理工作(93-94);在宫崎大学工学研究科系统工程专业获工学硕士、工学博士学位(95-2000);获日本国政府(文部省)奖学金(97-2000)。

国内主要工作经历

曾在东北电力从事电力系统中的自动控制、信息处理及管理工作;在清华大学经济管理学院管理科学与工程系做博士后研究工作。2003年4月起在内蒙古大学公共管理学院工作。

主要学术成果

Haihe Jin, Jian Liang, “How should the Chinese government provide information services for Mongol ethnic minority, ” Government Information Quarterly, Vol.32(1), pp.82-94, 2015.(SSCI)
Haihe Jin, “Research on the Construction of Public Crises Prevention Mechanism” 2010 International Conference on Public Administration (6th ICPA), Vol.1, pp.261-267, Sep..., 2010.(CPCI-SSH)
金海和,李利,“社会保障与政府责任——以中国农村社会保障体系建设为例,”中国行政管理,Vol.297,No.3,pp.59-62,Mar...,2010。(CSSCI)
白萨茹拉,金海和,郭仁拥,“不完全信息多属性群体决策方法”, 系统工程与电子技术,Vol.30,No.12,pp.2406-2408,Dec...,2008。(EI)
JIN Haihe, “How to Let Public Decision Be More Scientific” 2007 International Conference on Public Administration (3rd ICPA), Vol.1.1, pp.143-149, Oct…, 2007.(CPCI-SSH)
金海和,段燕平,“以公民权利制约公共权力的机制建设构想,” 中国行政管理,Vol.268,No.10,pp.27-29,Oct...,2007。(CSSCI)
郭仁拥,金海和,“基于客户满意的层级供应链优化模型及算法,” 系统工程与电子技术,Vol.29,No.7,pp.1094-1097,Jul...,2007。(EI)
金海和,郭仁拥,“供应链多级库存随机模型及其优化研究,” 计算机集成制造系统(CIMS),Vol.13,No.02,pp.257-261,Feb...,2007。(EI)
金海和,段燕平,“教育公平与政府责任,” 中国行政管理,Vol.255,No.9,pp.54-56,Sep...,2006。(CSSCI)
金海和,陈剑,唐政,郑国旗,“基于Hopfield网络学习的多城市旅行商问题的解法,” 系统工程理论与实践,Vol.23,No.7,pp.100-105,Jul...,2003。(EI)
金海和,陈剑,赵纯均,“分销配送网络优化模型及其求解算法,” 清华大学学报(自然科学版),Vol.42,No.6,pp.739-742,Jun.,2002。(EI)
金海和,陈剑,唐政,郑国旗,“基于Hopfield网络的极小值问题学习算法,”清华大学学报(自然科学版),Vol.42,No.6,pp.731-734.746,Jun.,2002。(EI)
Zheng Tang, Qiping Cao, Hai He Jin, and Kenji Murao, “A method of solving the Traveling Salesman Problem by using mountain climbing learning in parameter space of Hopfield network,” Trans. IEICE of Japan, A, Vol.J84-A, No.4, pp.497-508, Apr., 2001.
Hiroo Kumagai, Zheng Tang and Hai He Jin, “A method of solving N-Queen problem by Hopfield network learning,” Technical Report Of IEICE, Vol.99, No.603, pp.71-78, Feb., 2000.
Zheng Tang, Yoshitaka Sasaki and Hai He Jin, “The optimization problems in Image processing by Hopfield network learning,” Technical Report Of IEICE, Vol.99, No.603, pp.63-69, Feb., 2000.
Zheng Tang, Nobuhiko Muta and Hai He Jin, “A method of solving the Scheduling problem by Hopfield network learning,” Technical Report Of IEICE, Vol.99, No.603, pp.55-62, Feb., 2000.
8. Zheng Tang, Hai He Jin, Kenji Murao, Okihiko Ishizuka, and Koichi Tanno, “A gradient ascent learning for Hopfield networks,” Trans. IEICE of Japan, A, Vol.J83-A, No.3, pp.319-331, Mar., 2000.
Hai He Jin, Zheng Tang, and Kenji Murao, “Hopfield network learning for Traveling salesman problem,” 1999 International symposium on nonlinear theory and its applications (NOLTA99), Vol.1, pp.5-8, Nov., 1999.
Hideo Miyaji, Kenji Murao and Hai He Jin, “Converging for A/D converter with deterministic annealing,” Record of 1998 joint conference of electrical and electronics engineers in kyushu, Vol.51, pp.578, Oct., 1998.
Hideo Miyaji, Kenji Murao and Hai He Jin, “On optimization properties of a deterministic annealing based A/D converter,” 1998 International symposium on nonlinear theory and its applications (NOLTA98), Vol.3, pp.1073-1076, Sept., 1998.
Zheng Tang, Hai He Jin, Okihiko Ishizuka, Koichi Tanno, “An investigation on a unique solution of the Hopfield and the T-model neural networks,” Trans.IEE of Japan, Vol. 118-C, No.2, pp.150-160, Feb., 1998.(EI)
Zheng Tang, Koichi Tashima, Hai He Jin, Okihiko Ishizuka, Koichi Tanno, “Self-learning ULR fuzzy controllers using temporal back propagation,” Trans. IEE of Japan, Vol. 117-C, No.12, pp.1794-1801, Dec., 1997. (EI)
Hai He Jin, Zheng Tang, Okihiko Ishizuka, Koichi Tanno, “Steepest descent learning and its simulation for Hopfield neural networks with continuous response neurons,” Reprinted from memoirs of the Faculty of Engineering, Miyazaki University, No.26, pp.55-67, Sept., 1997.
Hai He Jin, Zheng Tang, Okihiko Ishizuka, Koichi Tanno, “Learning for Hopfield neural networks with continuous response neurons,” Record of 1996 joint conference of electrical and electronics engineers in kyushu, Vol.49, pp.826, Oct., 1996.
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