鐘水明，男，博士，南京信息工程大學計算機與軟體學院講師。
基本介紹
- 中文名：鐘水明
- 畢業院校：河海大學
- 職業：教師
- 任職院校：南京信息工程大學計算機與軟體學院
- 學歷：博士研究生
人物經歷,研究方向,科研項目,發表論文,
人物經歷
2004-2007 河海大學，模式識別與智慧型系統專業，碩士；
2010-2011 河海大學，計算機套用技術專業，博士。
2011至今 南京信息工程大學計算機與軟體學院，教師。
研究方向
人工神經網路、機器學習、模式識別、數據挖掘等。
科研項目
[1] 基於敏感性的Madaline網路學習機制研究, 江蘇高校研究生創新計畫(CX09B_157Z), 2009-2011,主持;
[2] 基於敏感性的離散前向神經網路學習機制研究, 河海大學優秀博士學位論文培育計畫(2010B19214), 2009-2011,主持;
[3] 前向人工神經網路敏感性研究及其套用, 國家自然科學基金(60571048), 2006-2008, 主研;
[4] 基於敏感性的前向神經網路學習機制研究, 國家自然科學基金(60971088), 2010-2012, 主研.
發表論文
[1] Shuiming Zhong, Yu Xue, Yunhao Jiang, et al: A Sensitivity-Based Improving Learning for Madaline Rule II. Mathematical problems in Engineering, 2014:1-8, (2014). SCIE.
[2] Yu Xue, Shuiming Zhong, Yi Zhuang, et al: An ensemble algorithm with self-adaptive learning techniques for high-dimensional numerical optimization. Applied Mathematics and Computation, 231: 329-346,(2014). SCIE.
[3] Yinhua Lu, Tinghuai Ma, Shuiming Zhong, Jie Cao, et al. Improved locality-sensitive hashing method for approximate nearest neighbor problem. Chin. Phys. B, 23(8) (2014) SCI.
[4] Lihong Huang, Xiaoqin Zeng, Shuiming Zhong, Lixin Han: Sensitivity study of Binary Feedforward Neural Networks. Neurocomputing, 136: 268-280, (2014). SCIE.
[5] 蔣雲昊, 陳煒峰, 鐘水明等:干擾對消系統的非零頻寬性能與延時匹配. 通信學報, 35 (7) :113-121, (2014).EI.
[6] Yan Xu, Xiaoqin Zeng, Shuiming Zhong: A New Supervised Learning Algorithm for Spiking Neurons. Neural Computation, 25(6): 1472-1511 (2013) SCI.
[7] Jing Yang, Xiaoqin Zeng, Shuiming Zhong, Shengli Wu: Effective Neural Network Ensemble Approach for Improving Generalization Performance. IEEE Trans. Neural Netw. Learning Syst., 24(6): 878-887, (2013). SCI.
[8] Jing Yang, Xiaoqin Zeng, Shuiming Zhong: Computation of multilayer perceptron sensitivity to input perturbation. Neurocomputing, 99: 390-398 (2013) SCIE.
[9] Shuiming Zhong, Xiaoqin Zeng, Shengli Wu, Lixin Han: Sensitivity-Based Adaptive Learning Rules for Binary Feedforward Neural Networks. IEEE Trans. Neural Netw. Learning Syst., 23(3): 480-491 (2012) SCI.
[10] 鐘水明, 曾曉勤, 劉惠義, 徐彥: 基於離散隨機技術的Madaline敏感性近似計算研究. 中國科學F輯：信息科學, 41(2):157-172 (2011)
[11] Shuiming Zhong, Xiaoqin Zeng, Huiyi Liu, Yan Xu: Approximate computation of Madaline sensitivity based on discrete stochastic technique. SCIENCE CHINA Information Sciences 53(12): 2399-2414 (2010) SCI.
[12] Xianming Chen, Xiaoqin Zeng, Rong Chu, Shuiming Zhong: A quantified sensitivity measure of Radial Basis Function Neural Networks to input variation. IJCNN 2010: 1-6.EI.
[13] Xiaoqin Zeng, Jing Shao, Yingfeng Wang, Shuiming Zhong: A sensitivity-based approach for pruning architecture of Madalines. Neural Computing and Applications 18(8): 957-965 (2009) SCIE
[14] Yan Jun Liu, Xiaoqin Zeng, Shuiming Zhong, Shengli Wu: A Sensitivity-Based Training Algorithm with Architecture Adjusting for Madalines. SMC 2009: 4586-4591.EI.
[15] 王炳輝, 曾曉勤, 鐘水明. Adaline對權擾動敏感性的近似計算. 模式識別與人工智慧, 2009, 22(3): 354-359.EI.
[16] Lei Lu, Xiaoqin Zeng, Shengli Wu, Shuiming Zhong: A Novel Ensemble Approach for Improving Generalization Ability of Neural Networks. IDEAL 2008: 164-171.EI.
