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Min Han    Professor
Education: Min Han
E-mail: minhan@dlut.edu.cn
Tel: 0411-84708719
Office:
Lab: Institute of Fuzzy Information Processing and Machine Intelligent
Homepage:
Profile
 

Working Experience

1、Introduction

Min Han:Professor; The deputy director of Personnel and deputy director of the human resources Leading Group Office; The associate deputy of Young Work Committee of China Instrument and Control Society; The minister of Liaoning System Simulation Association; The member of China Artifical Intelligence Popular Science Work Committee.

She has received more than 20 research grants,including two projects supported by the National Natural Science Foundation of China,one project supported by the National High Technology Research and Development Program of China(863 Program),one sub-project supported by the Major Program of the National Natural Science Foudation of China and several sub-projects supported by the National Basic Research Program of China(973 Program).The evaluation of the National Natural Science Foundation project(Grants No.60374064)is A. In recent ten years,she has published more than 160 papers in conferences,international journals and major domestic journals,including IEEE Trans. on Signal Processing,IEEE Trans. on Neural Networks,IEEE Signal Processing Letters and Acta Physical Sinica etc.,and 113 of them were cited by the SCI,EI.

On social work, Professor Min Han has also invested great enthusiasm. In 2003-2004, she was the head of Department of Automation in Dalian University of Technology, and now she serves as deputy director of Personnel and deputy director of the human resources Leading Group Office. She works conscientiously and got a lot of praise of our school’s teachers. At the same time, she is also chairman of Jiu San Society grass-roots committees in Dalian University of Technology, and she served as a Municipal CPPCC member and district people's congress deputies and other positions. She performs her duties conscientiously all the time.

 

2、Research Interest

Neural Networks and its application;3S System; Chaotic time series analysis and prediction

3、Learning Experience:

1978/10~1982/6   Automation of industrial enterprises,Dalian Institute of Technology Department of Electronics,B.S.

1990/09~1993/03    School of Electronic and Information Engineering, Dalian University of Technology, M.S.

1993/10~1994/03    Japanese National Kyushu University Faculty of Engineering,Graduate

1994/04~1996/03    Japanese National Kyushu University Faculty of Engineering Electrical Engineering profession, Brother

1996/04~1999/03   Electrical and Electronic System Engineering,Japanese National Kyushu University, Ph.D.

2002/12~2003/02   Japanese National Kyushu University,Senior Visiting Research Fellow of sending
4、Working Experience:

 

1977/08~1978/09    The new King County Lianshan commune,Dalian,school graduates

1982/08~1984/11    Dalian Polytechnic University,teacher

1984/12~1992/11    Dailian University,Lecturer

1999/03~1999/07    School of Electronic and Information Engineering,Dalian University of Technology,lecturer

1999/08~2003/11    School of Electronic and Information Engineering,Dalian University of Technology,Associate Professor

2003/02~Nowadays    School of Electronic and Information Engineering,Dalian University of Technology,Professor and Ph.D. Candiate Supervisor

2006/06~Nowadays    Dalian University of Technology,deputy director of Personnel and deputy director of the human resources Leading Group Office

 

 Academic and Social Pluralism:
1.The associate deputy of Young Work Committee of China Instrument and Control Society
2.The minister of Liaoning System Simulation Association
3.The member of China Artifical Intelligence Popular Science Work Committee

 

 

Reaearch Fields

Projects Finished

 
1、 The project supported by the National Natural Science Foundation of China(Grant No.60674073):Modeling and Forecasting for Complex Systems Based on Multivariate Time Series Analysis.(60674073 ).
2、 The project supported by the National High Technology Research and Development Program of China(Grant No.2007AA04Z158):The Research and Application of Process Control Model in BOF Steelmaking.
3、Mechanism analysis and applications of the multi-branch neural networks.
4、The sub-project supported by the National Basic Research Program of China(Grant No.1999043602):Study on Chaotic Dynamics of Long Term Runoff Evolution in the Yellow River.
5、The fifth sub-project supported by the Major Program of the National Nature Science Foundation of China(Grant No.50139020):The Apporach on Flood Resources and Wetland Management with the Support of 3S Technology.
6、Songliao River Water Resources Commission of Ministry of Water Resources:Integrated Financial Management Information System of Songliao River Water Resources Commission of Ministry of Water Resources.
7、The project supported by the National Natural Science Foundation of China(Grant No.60374064):Model Reconstruction and Prediction for Noisy Chaotic Time Series.
8、Improvement technology and comprehensive demonstration of Dalian urban water environment quality.
9、Integrated Management System of Dalian River Water.

 

Researching Projects

 1、The project supported by the National Technology Support Program (Grant No.2006BAB14B05):On the Evaluation Technique for Risk and Benefit of the Utilization of Flood and Rainwater.
2、The sub-project supported by the National Basic Research Program of China (Grant No.2006CB403405):Basic Theories and Methodologies for Evaluation of Water Use Effciency Based on Water Circulation.
3、Information Management over Flood & Drought Prevention of Liaoning Province.
4、Research and Application of Flood Hazard Map of Liaohe River Basin.
5、Information Management System of University Teachers.
6、Feature Extraction and Optimization Calculationin in the Prediction of Multivariate Time Series.

Research Direction :


1.Mechanism analysis and applications of the multi-branch neural networks
2.Data mining methods and application research in engineering areas 
3.Information management and decision supporting system based on 3S technology
4.Research on chaotic dynamics analysis and its prediction

Students’ Research Direction

1、Modeling and Forecasting for Complex Systems Based on Multivariate Time Series Analysis

2、Research on Dynamic Neural Networks with the particle swarm optimization

3、Research and Application of Process Control Model in BOF Steelmaking

4、Research and Application of Flood Hazard Map of Liaohe River Basin

Papers and Publication

Publication:

[1]Min Han.Remote Sensing in Hydrology and Water Management. China WaterPower Press,2006.

[2]Min Han.Prediction Theory and Method of Chaotic Times Series. China WaterPower Press,2007.

Papers:

Min Han has published more than 160 papers in conferences,international journals and major domestic journals,including IEEE Trans. on Signal Processing,IEEE Trans. on Neural Networks,IEEE Signal Processing Letters and Acta Physical Sinica etc.,and 129 of them were cited by the SCI,EI.

Follows:

[1]Min Han,Yanan Wang. Multivariate Time Series Online Predictor with Kalman Filter Trained Reservoir, Acta Automatica Sinica, 2010, Vol. 36, No. 1, 169-173.
[2]Xinzhe Wang,Min Han,Xilin Yang and Dong Lin. Calculating lime input quantity by alkalinity deviation estimation based on support-vector-machines. Control Theory and Applications. 2009, 26(12): 1415-1418.
[3]M. Han and Y. Wang. Analysis and Modeling of Multivariate Chaotic Time Series Based on Neural Network, Expert Systems With Applications. 2009, Vol.36, No.2, 1280-1290.(SCI、EI)
[4]Min Han, Yunxia Liu. Noise reduction method for chaotic signals based on dual-wavelet and spatial correlation. Expert Systems With Applications, 2009, Vol.36, No.6, 10060-10067. (SCI、 EI)
[5]Min Han, Yunxia Liu. Local projection noise reduction based on Nonlinear constraints.Journal of Electronics & Information Technology, 2009, Vol. 31, No. 2, 400-404. (EI)
[6]Jun Xing,Min Han. Based on Double VSM and Fuzzy FCA Ontology Learning Method. Journal of Computer Research and Development,2009, Vol. 46, No. 3, 443-451. (EI)
[7]Zhiwei Shi and Min Han. ?-C Plane and Robustness in Static Reservoir for Nonlinear Regression Estimation. Neurocomputing. 2009, Vol. 72, No.7-9, 1732-1743. (SCI、EI)
[8]Min Han,Zheng Li. Multi-Attribute Fuzzy Rules Classification Based on Cloud-Neural Network. Control and Decision, 2009, Vol. 24, No. 6, 933-936. (EI)
[9]Jun Xing, Min Han. A Wetland Protection Domain Ontology Construction for Knowledge Management and Information, Special Issue Journal of Human and Ecological Risk Assessment, 2009, Vol. 15, No. 2, 298-315. (SCI、EI)
[10]Fan Jianchao, Min Han, Jun Wang, Single Point Iterative Weighted Fuzzy C-Means Clustering Algorithm for Remote Sensing Image Segmentation, Pattern Recognition, 2009, Vol.42 No.11, 2527-2540. (SCI、EI)
[11]Xiaoliang Tang, Min Han. Partial Lanczos Extreme Learning Machine for Single-output Regression Problem. Neurocomputing. 2009, Vol. 72 No.13-15, 3066–3076. (SCI)
[12]Min Han, Jianchao Fan and Bing Han. An Adaptive Dynamic Evolution Feedforward Neural Network on Modified Particle Swarm Optimization. 2009 International Joint Conference on Neural Networks. 2009.6, 1083-1089. (EI)
[13]Min Han,Yanan Wang. Nonlinear Time Series Online Prediction Using Reservoir Kalman Filter. IJCNN 2009. 2009.6, 1090-1094. (EI)
[14]Min Han,Yanan Wang. Prediction of Multivariate Time Series Based on Reservoir Principal Component Analysis Method, Control and Decision, 2009, Vol. 24, No. 10, 1526-1530.(EI)
[15]Min Han, Junjie Zhang. Bayesian rough set model based on multiple decision classes. Control and Decision. 2009, 24(11): 1615-1619.(EI)
[16]Min Han, Jia Yin. The Hidden Neurons Selection of the Wavelet Networks Using Support Vector Machines and Ridge Regression, Neurocomputing, 2008, Vol. 72, No. 1-3, 471-479. (SCI、EI)
[17]Min Han,Zhiqiang Niu,Bing Han. A new approach to synchronization between two different chao tic systems with paramet ricper turbation, ACTA PHYSICAS INICA, Vol. 57, No. 11, pp. 6824-6829, 2008. (SCI、EI)
[18]Min Han,Yijie Wang. Computation of the largest Lyapunov exponentin noisy chaotic signal, Control Theory & Applications. Vol. 25, No. 5, pp. 898-900, 2008.(EI)
[19]Min Han,Xiaofeng Lin. An Classification Algorithm Based on Wedgelet Transform for Remote Sensing Image. Journal of Infrared and Millimeter Waves. Vol. 27, No. 4, pp. 280-283, 2008. (SCI、EI)
[20]Min Han, Xinzhe Wang. Applying Ica on Neural Network to Simplify Bof Endpiont Predicting Model. IEEE World Congress on Computer Intelligence, 772-777, Jun. 2008, Hongkong. (EI)
[21]Min Han, Jia Yin. The Learning Algorithm Based on Multiresolution Analysis for Neural Networks. IEEE World Congress on Computer Intelligence, 784-788, Jun. 2008, Hongkong. (EI)
[22]Min Han, Ru Wei. Multivariate Chaotic Time Series Analysis and Prediction Using Improved Nonlinear Canonical Correlation Analysis. IEEE World Congress on Computer Intelligence, 759-765, Jun. 2008, Hongkong. (EI)
[23]Min Han,Yao Zhao. Simulation and Visualization of Flood Submergence Based on MIKE FLOOD and ArcObjects, Proceeding of the 27th Chinese Control Conference, pp. 319-323, 2008. (EI)
[24]Min Han,Ru Wei. Chaotic time series prediction based on modified canonical correlation analysis. Journal of Dalian University of Technology, Vol. 48, No.2, p292-297, 2008. (EI)
[25]Min Han,Decai Li. Multiple Time Series Correlation Extraction and Prediction Based on EOF-SVD Model, Journal of System Simulation, Vol. 20, No. 7, p1669-1672, 2008.(EI)
[26]Zhiwei Shi, Min Han. Tikhonov-type Regularization in Local Model for Noisy Chaotic Time Series Prediction, 46th IEEE Conference on Decision and Control, 2223-2228, 2007.12, USA. (EI、ISTP)
[27]Min Han, Wei Guo, Yunfeng Mu. A Modified RBF Neural Network in Pattern Recognition. The 2007 International Joint Conference on Neural Networks, 1656-1661, 2007, Florida. (EI、ISTP)
[28]Jie Dong, Min Han. IFCIA: An Efficient Algorithm for Mining Intertransaction Frequent Closed Itemsets. The 3rd International Conference on Natural Computation and the 4th International Conference on Fuzzy Systems and Knowledge Discovery. Vol. 2, 678-682, 2007, Haikou. (EI、ISTP)
[29]Jun Xing, Min Han, Xueheng Tao. Web-Based Domain Ontology Learning Model and Ontology Construction. Jun Xing, Min Han, Xueheng Tao. Web-Based Domain Ontology Learning Model and Ontology Construction. Proceedings of the International Conference on Life System Modeling and Simulation, Vol. 14, 332-338, 2007, Shanghai, China. (SCI)
[30]Min Han,Songling Zhao, Study on spatio-temporal data model based on feature-version applied in wetland management, Science of Surveying and Mapping, Vol. 32, No. 6, 140-142, 2007.(EI)
[31]Min Han,Yunfeng Mu.Improved learning algorithmfor optimizing RANnetwork structure. Control and Decision, Vol. 22, No.10, 1177-1180, 2007. (EI)
[32]Jianhui Xi,Min Han.Prediction of multivariate time series based on principal component analysis and neural networks. Control Theory & Applications, Vol. 24, No.5, 719-724, 2007. (EI)
[33]Min Han, Jia Yin. Orthogonal Least Squares Based on QR Decomposition for Wavelet Networks. International Symposium on Neural Networks 2007, 569-574, 2007, Nanjing. (ISTP)
[34]Jun Xing,Min Han, ZHOU Kai-peng. Research on method of information sources selection for domain ontology building and its implementation, Journal of Dalian University of Technology, Vol. 47, No. 4, 598-604, 2007.(EI)
[35]Min Han,Decai Li. Multivariate Time Series Correlation Extract and Prediction Based on Cluster, CCC07, Vol. 3, 187-191, 2007, Zhangjiajie.(EI、ISTP)
[36]Min Han,Jia Yin. New Algorithm for Node Selection in Hidden Layer of Wavelet Networks.Journal of System Simulation, Vol. 19, No. 17, 3899-3902, 2007. (EI)
[37]Jun Xing, Min Han. An ontology construction for knowledge management and information sharing in wetland protection. ICMI, Vol. 1, No. 4-6, 331-336, 2007.6, China. (ISTP)
[38]Yijie Wang,Min Han. Prediction of Multivariate Chaotic Time Series Based on Optimized Phase Space Reconstruction. CCC07, Vol. 3, 169-173, 2007, Zhangjiajie. (EI、ISTP)
[39]Jie Dong, Min Han. BitTableFI: An efficient mining frequent itemsets algorithm. Knowledge-Based Systems, Vol. 20, No. 4, 329-335, 2007. (EI、SCI)
[40]Zhiwei Shi,Min Han. Ridge regression learning in ESN for chaotic time series prediction. Control an d Decision, Vol. 22, No. 3, 258-261,267, 2007. (EI)
[41]Min Han, Yannan Sun, Shiguo Xu. Characteristics and Driving Factors of Marsh Changes in Zhalong Wetland of China. Environmental Monitoring and Assessment, Vol. 127, No. 1, 363-381, 2007. (SCI、EI)
[42]Zhiwei Shi, Min Han. Support Vector Echo-state Machine for Chaotic Time Series Prediction. IEEE transactions on neural networks, Vol. 18, No. 2, 359-372, 2007. (SCI、EI)
[43]Min Han,Zhiwei Shi,Wei Guo. Reservoir neural state reconstruction and chaotic time series prediction. ACTA PHYSICA SINICA, Vol. 56, No. 1, 43-50, 2007. (SCI、EI)
[44]Min Han, Yuhua Liu, Jianhui Xi, and Wei Guo. Noise smoothing for nonlinear time series using wavelet soft threshold. IEEE Signal Processing Letters, Vol. 14, No. 1, 62-65, 2007. (SCI、EI)
[45]Min Han,Yuhua Liu,Zhiwei Shi,Mu Xiang. The Study of Chaotic Noise Reduction Method with Improved Local Projection. Journal of System Simulation, Vol. 19, No. 2, 364-368, 2007. (EI)
[46]Min Han,Jianhui Xi,Mingming Fan. Application of Neural Networks on Modeling of Multi variate Time Series. Chinese Journal of Scientific Instrument, Vol. 27, No. 3, 275-279, 2006. (EI)
[47]Min Han, Bing Han, Jianhui Xi, Kotaro Hirasawa. Universal learning network and its application for nonlinear system with long time delay. Computers & Chemical Engineering, Vol. 31, No. 1, 13-20, 2006. (SCI、EI)
[48]Min Han,Pisuo Cui. A dynamic RBF neural network algorithm used in pattern recognition. Journal of Dalian University of Technology, Vol. 46, No. 5, 746-751, 2006. (EI)
[49]Jianhui Xi, Min Han. Reduction of the multivariate input dimension using principal component analysis. Trends in Artificial Intelligence, Proceedings, Lecture Notes in Artificial Intelligence, Vol. 4099, 1047-1051, 2006, Pricai. (SCI)
[50]Bing Han, Min Han. Predictive Control Method of Improved Double-controller Scheme Based on Neural Networks. Proc. of Third International Symposium on Neural Networks, Lecture Notes in Computer Science, Vol. 3972, 949-955, 2006, Chengdu, China. (SCI、EI)
[51]Min Han, Wei Guo, Mingming Fan. Multivariate chaotic time series prediction based on radial basis function neural network. Proc. of Third International Symposium on Neural Networks, Lecture Notes in Computer Science, Vol. 3972, 741-746, 2006, Lecture Notes in Computer Sciencem, Chengdu, China. (SCI、EI)
[52]Xing Jun, Han Min. Research on Design and Application of Domain Ontology of Wetland Protection. Proc. The 6th World Congress on Intelligent Control and Automation, 9342-9346, 2006, Dalian. (EI、ISTP)
[53]Min Han, Mingming Fan. Application of neural networks on multivariate time series modeling and prediction. Proc. American Control Conference, 3698-3703, 2006. (EI、ISTP)
[54]Wei Guo, Min Han. Generalized Predictive Controller Based on RBF Neural Network for a Class of Nonlinear System. Proc. of the 2006 American Control Conference, Vol. 1-12, 1569-1574, 2006, Minnesota, USA. (EI、ISTP)
[55]Jianhui Xi,Ru Wei,Min Han.Application of EKF on Identification of Multivariate Chaotic Time Series. Journal of System Simulation, Vol. 18, No. 9, 2525-2529, 2533, 2006. (EI)
[56]Min Han,Zhiwei Shi,Jianhui Xi. Learning the trajectories of periodic attractor using recurrent neunal network, Control Theory & Applications. Vol. 23, No. 4, 497-502, 2006.(EI)
[57]Min Han,Pisuo Cui. A Dynamic RBF Neural Network for Pattern Recognition. PatternRecignition and Artificial Intelligence, Vol. 19, No. 1, 94-99, 2006. (EI)
[58]Min Han,Bing Han. Adaptive algorithm of universal learning network and its application to predictive control. Control Theory & Applications. Vol. 23, No. 6, 900-906, 2006.(EI)
[59]Min Han,Yannan Sun,Shiguo Xu. Structure and Algorithm Design of a Fuzzy Logic Inference Neural Network.Control and Decision, Vol. 21, No. 4, 415-420, 2006. (EI)
[60]Min Han, Bing Han, Wei Guo. Process Control of pH Neutralization Based on Adaptive Algorithm of Universal Learning Network. Journal of Process Control, Vol. 16, No. 1, 1-7, 2006. (SCI、EI)
[61]Min Han, Xue Tian. Wetlands Study in China------creating a database using GPS and GIS technology. IEEE Instrumentation and Measurement Magazine, Vol. 8, No. 4, 40-43, 2005. (SCI、EI)
[62]Hua Meng,Xiaodong Li,Min Han,Jixin Yang. Establishment of Songmen Wetland Information System Based on GIS, Computer Engineering, Vol. 31, No. 7, 49-52, 2005.(EI)
[63]Min Han,Xiaomeng Jia,Jianhui Xi,Bing Han. Controller Design Based on the Universal Learning Network. Chinese Journal of Scientific Instrument. Vol. 26, No. 3, 249-254, 2005. (EI)
[64]Min Han, Bing Han. Universal Learning Network Predictive Control for Nonlinear Dynamic Systems with Time-delay. Prof. of IEEE International Conference On Networking, Sensing and Control, Vol. 3, 1064-1069, 2005, Tucson, USA. (ISTP、EI)
[65]Zhiwei Shi, Min Han, Jianhui Xi. Exploring the Neural State Space Learning from One-Dimension Chaotic Time Series. Prof. of IEEE International Conference On Networking, Sensing and Control, Vol. 3, 437-442, 2005, Tucson, USA. (ISTP、EI)
[66]Min Han, Mingming Fan, Jianhui Xi. Study of Nonlinear Multivariate Time Series Prediction Based on Neural Networks, Lecture Notes in Computer Science, Vol. 3497, 618-623, 2005. (ISTP、SCI、EI)
[67]Min Han, Yuhua Liu, Jianhui Xi, Zhiwei Shi. A Systematic Chaotic Noise Reduction Method Combining with Neural Network. Lecture Notes in Computer Science, Vol. 3497, 580-585,2005. (ISTP、SCI、EI)
[68]Min Han,Jianhui Xi,Yannan Jun. Application of nonlinear local average algorithm in chaotic noise reduction. Systems Engineering and Electronics. Vol. 27, No. 5, 799-802, 2005.(EI)
[69]Min Han,Mingming Fan,Yuhua Liu,Jianhui Xi.Predictiong Multivariate Nonlinear Time Series Based on New Hybrid Neural Nerwork. The 24th Chinese Control Conference, 1023-1026, 2005.7, Guangzhou, China.(ISTP)
[70]Yannan Sun,Min Han.Neural Network for fuzzy if-then Rules Realization, The 24th Chinese Control Conference, 1041-1044, 2005.7, Guangzhou, China.(ISTP)
[71]Min Han, Xiaoliang Tang. A Classification Framework of Neural Networks Fusing Spectrum and Texture Information. Proc. of IEEE International Geoscience & Remote Sensing Symposium, Vol. 6, 3814-3817, 2005. 7, Seoul, Korea. (EI)
[72]Min Han, Xue Tian, Shiguo Xu. Research on Data Collection and Database Update of GIS Based on GPS Technology. Proc. of IEEE International Geoscience & Remote Sensing Symposium, Vol. 2, 920-923, 2005, Seoul, Korea. (EI)
[73]Yannan Sun, Min Han, and Shiguo Xu. 3S data feature-level fusion by neural network. In IGRASS: IEEE International Geoscience & Remote Sensing Symposium, Vol. 1-8, 3920-3923, 2005, Seoul, Korea. (EI)
[74]Jianhui Xi, Zhiwei Shi, Min Han. Analyzing the State Space Property of Echo State Networks for Chaotic System Prediction. Proceedings of International Joint Conference on Neural Networks, 1412-1417, 2005. 8, Montréal, Canada. (EI)
[75]Min Han, Wei Guo, Jincheng Wang. Predictive Control Based on Feed-forward Neural Network for Strong Nonlinear System. Proceedings of International Joint Conference on Neural Networks, 2226-2271, 2005. 8, Montréal, Canada. (EI)
[76]Hua Meng,Xiaodong Li,Min Han,Jixin Yang.Establishment of Songnen Wetland Information System based on GIS.Computer Engineering, Vol. 31, No. 7, 49-52, 2005. (EI)
[77]Min Han,Xue Tian. Research on application of neural network to GPS coordinates transformation, Journal of Dalian University of Technology, Vol. 45, No. 4, 603-606, 2005.(EI)
[78]Min Han, Yingnan Fan, Wei Guo. A Modified Neural Network Based on Subtractive Clustering for Bidding System, International Conference of Neural Network and Brain, 128-133, 2005.10, Beijing, China. (EI)
[79]Bing Han, Min Han. An Adaptive Algorithm of Universal Learning Network for Time Delay System. International Conference of Neural Network and Brain, 1739-1744, 2005.10, Beijing, China. (EI)
[80]Min Han,Zhiwei Shi. Application of Recurrent Neural Network to Earthquake Response Analysis of Rock-fill Dam, Acta Simulata Systematica Sinica. Vol. 17, No. 10, 2533-2536, 2540, 2005.(EI)
[81]Min Han,Wei Guo,Jincheng Wang. Adaptive Predictive PID Controller Based on RBF Neural Networks for Long Time-variable Delay Systems. Chinese Journal of Scientific Instrument, Vol. 26, No. 10, 1039-1043, 2005.(EI)
[82]Chengshan Wang,Min Han,Zhiwei Shi. Analysis method of thermal parameters feedback during construction period of RCC dam based on artificial neural network, Journal of Dalian University of Technology, Vol. 44, No. 3, 437-441, 2004.(EI)
[83]Min Han,Lei Chen,Jun Xing.Research on classification of land cover in Zhalong werland area based on neural network, Journal of Dalian University of Technology, Vol. 44, No. 4, 582-588, 2004.(EI)
[84]Min Han, Xue Tian, Shiguo Xu. Research on Neural Network Method in GPS Data Transformation. Lecture Notes in Computer Science, Vol. 3174, 713-718, 2004. (ISTP、SCI)
[85]Min Han, Zhiwei Shi, Wei Wang. Modeling Dynamic System by Recurrent Neural Network with State Variables. Lecture Notes in Computer Science, Vol. 3174, 200-205, 2004. (ISTP、SCI)
[86]Min Han, Jianhui Xi. Efficient Clustering of Radial Basis Perceptron Neural Network for Pattern Recognition, Pattern Recognition, Vol. 37, No. 10, 2059-2069, 2004. (SCI、EI)
[87]Min Han, Xiaoliang Tang, Lei Cheng. An Improved Fuzzy ARTMAP Network and Its Application in Wetland Classification. Proc. of IEEE International Geoscience and Remote Sensing Symposium, Vol. 5, 3432-3435, 2004.9, Anchorage, USA. (EI)
[88]Min Han, Xue Tian. Design and Realization of GPS and GIS Integration Technology in Wetland Study. Proc. of IEEE International Geoscience and Remote Sensing Symposium, Vol. 5, 2857-2860, 2004.9, Anchorage. USA. (EI)
[89]Min Han, Yannan Sun, Shiguo Xu. GIS Attribute Data Knowledge Discovery System. Proc. of IEEE International Geoscience and Remote Sensing Symposium, Vol. 4, 2416-2419, 2004.9, Anchorage, USA. (EI)
[90]Min Han, Jian hui Xi, Shiguo Xu, Fuliang Yin. Prediction of Chaotic Time Series Based on the Recurrent Predictor Neural Network. IEEE Transaction on Signal Processing, Vol. 52, No. 12, 3409-3416, 2004. (SCI、EI)
[91]Min Han,Changshan Liu,Hua Meng.Constitution of ZaLong Wetland GIS System Based on Web, Computer Engineering and Applications, Vol. 39, No. 3, 19-21, 2003.
[92]韩敏, 金江春植, 和田清. 入礼価格決定支援システムにおいて高い汎化能力を持つ改善BP計算法. Research Reports on information Science and Electrical Engineering of Kyushu University, Vol. 8, No. 1, 73-76, 2003.
[93]韩敏, 金江春植, 和田清. RBPNのパターン認識ヘの応用. Research Reports on information Science and Electrical Engineering of Kyushu University, Vol. 8, No. 1, 67-72, 2003.
[94]Min Han,Yannan Sun.Multi-Input Fuzzy Neural Network and Its Application, Vol. 25, No. 10, 1249-1252, 2003.(EI)
[95]Min Han, Lei Cheng, Hua Meng. Application of Four-layer Neural Network on Information Extraction. Neural Networks, Vol. 16, No. 5-6, 547-553, 2003. (SCI、EI)
[96]Min Han, Jianhui Xi, Shiguo Xu. Chaotic system identification based on Kalman filter. Proc. of The 2002 IEEE World Congress on Computational Intelligence, 675-680, 2002. 5, Hawaii, USA. (EI)
[97]Min Han, Jianhui. Xi. Radial Basis perception network and its applications for pattern recognition. Proc. of The 2002 IEEE World Congress on Computational Intelligence,669-674, 2002. 5, Hawaii. (EI)
[98]Min Han, Jianhui Xi, Shiguo Xu. Application of Kalman filter to chaotic prediction of sunspots. Proc. 2002 of the World Congress on Intelligent Control and Automation, Vol. 2, 406-409, 2002, Shanghai, China. (EI)
[99]Min Han, Lei Cheng, Hua Meng. Classification of aerial photograph using neural network. IEEE 2002 International Conference Systems, Man and Cybernetics, Vol. 6, 92-98, 2002. 10, Tunisia. (EI)
[100]Min Han, Jianhui. Xi, K. Hirasawa. Identification of nonlinear dynamic systems with large time delays based on universal learning network. IEEE 2002 International Conference Systems, Man and Cybernetics, Vol. 2, 18-23, 2002. 10, Tunisia. (EI)

Students on study:20

Graduates:43