金德泉,男,博士,廣西大學數學與信息科學學院副教授。
基本介紹
個人經歷,主講課程,研究方向,科研項目,學術成果,
個人經歷
2013.12-至今 廣西大學數學與信息科學學院,信息科學系,副教授
2011.10-2013.12 廣西大學數學與信息科學學院,講師
2008.3-2011.10 西安交通大學,數學提姜拘專業,博歸紋犁士研究生
2005.9-2008.1 西安交通大學,套用數學專業,碩士研究生
2001.9-2005.7 西安交通大學,信息與計算科學專業,本科
主講課程
數學分析,幾何學,機率論與數理統計,資訊理論與編碼學
研究方向
認知學習,數據科學,非線性動力系統
科研項目
複雜動態環境下碰撞檢測的生物似然性數學理論與方法,國家自然遙記檔束科學基金重點項目,2021.01-2024.12,參與,在研
基於多層視覺記憶模型的學習方法研究,國家自然科學基金地區基金項目,2017.01-2020.12,主持,結題
基於視覺動力神經場的機器學習方法研雅妹勸究,蘭妹疊葛國家自然科學基金青年基金項目,2015.01-2017.12,主持,結題
Amari動力神經場靜態解的存在性與穩定性研究 ,國家自然科學基金天元數學基金項目,2012.01-2012.12,主持,結題
基於視覺原理的數據聚類方法,廣西自然科學基金青年基金項目,2012.01-2014.12,主持,結祝槓遙題
學術成果
Yang Murong, Peng Jingen, Qin Ziyan, Chen Penghe, Jin Dequan. Dimension Reduction Based on Small Sample Entropy Learning for Hand-writing Image, Multimedia Tools and Applications, 2021, 80(11): 17365-17376.
Jin Dequan, Qin Ziyan, Yang Murong, Chen Penghe. A Novel Neural Model with Lateral Interaction for Learning Tasks. Neural Computation, 33(2): 528-551. (CCF-B)
Jin Dequan, Peng Jigen. Investigation on Amari’s dynamical neural field with global constant inhibition, Neural Networks, 2015,71(1):182-195.(CCF-B)
Wang Kaimin, Peng Jigen, Jin Dequan. A new development for Tikhonov theorem in nonlinear singular perturbation systems. Nonlinear Analysis- TMA, 2011, 74(8): 2869-2879.(一區)
Jin Dequan, Liang Dong, Peng Jigen. Existence and properties of stationary solution of dynamical neural field.Nonlinear Analysis: Real World Applications, 2011, 12(5): 2706-2716.(一區)
Jin Dequan, Peng Jigen. A New Clustering Approach on the Basis of Dynamical Neural Field. Neural Computation, 2011, 23(8): 2032-2057.(CCF-B)
Jin Dequan, Huang Zhili, Peng Jigen. Approximation on attraction domain of Cohen–Grossberg neural networks.Applied Mathematics and Computation, 2011, 21(217): 8747-8753.(三區晚贈)
Jin Dequan, Peng Jigen. A New Approach for Estimating the Attraction Domain for Hopfield-Type Neural Networks. Neural Computation, 2009, 21(1): 101-120.(CCF-B)
Jin Dequan, Liang Dong, Peng Jigen. Existence and properties of stationary solution of dynamical neural field.Nonlinear Analysis: Real World Applications, 2011, 12(5): 2706-2716.(一區)
Jin Dequan, Peng Jigen. A New Clustering Approach on the Basis of Dynamical Neural Field. Neural Computation, 2011, 23(8): 2032-2057.(CCF-B)
Jin Dequan, Huang Zhili, Peng Jigen. Approximation on attraction domain of Cohen–Grossberg neural networks.Applied Mathematics and Computation, 2011, 21(217): 8747-8753.(三區)
Jin Dequan, Peng Jigen. A New Approach for Estimating the Attraction Domain for Hopfield-Type Neural Networks. Neural Computation, 2009, 21(1): 101-120.(CCF-B)