基本情况
曾晓勤,获南京大学学士学位、东南大学硕士学位、香港理工大学博士学位。现任河海大学计算机与信息学院教授、博士生导师、智能科学与技术研究所所长、国际学术期刊IEEE Transactions on Systems、Man and Cybernetics-Part B副编辑。长期从事计算机科学及工程领域的教学与科研工作,主持过多项国家自然科学基金项目,在权威学术期刊(如 Neural Computation、IEEE Transactions on Neural Networks、SCIENCE CHINA:Information Science等)上发表了多篇学术论文。
研究领域
神经计算、机器学习、机器视觉、图文法及其在软件可视化应用等方面。
论文发表
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Sensitivity Analysis of MLP to Input and Weight Perturbations, IEEE Transactions on Neural Networks, 12(6): 1358-1366, 2001
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A Quantified Sensitivity Measure for Multilayer Perceptron to Input Perturbation, Neural Computation, 15(1): 183-212, 2003
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Spatial Graph Grammars for Graphical User Interfaces, ACM Transactions on Computer-Human Interaction, 13(2): 268-307, 2006. Hidden neuron pruning of multilayer perceptrons using a quantified sensitivity measure, Neurocomputing, 69(7-9): 825-837, 2006
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Computation of Adalines` Sensitivity to Weight Perturbation, IEEE Transactions on Neural Networks, 17(2): 515-519, 2006
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Computation of Madalines` Sensitivity to Input and Weight Perturbations, Neural Computation, 18(11): 2854-2877, 2006
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一种基于边的上下文相关图文法形式化框架,《软件学报》,19(8):1893-1901,2008
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A sensitivity-based approach for pruning architecture of Madalines, Neural Computing and Applications, 18(8): 957-965, 2009
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Approximate computation of Madaline sensitivity based on discrete stochastic technique, SCIENCE CHINA: Information Science, 53(12): 2399–2414, 2010
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Sensitivity-Based Adaptive Learning Rules for BFNNs. IEEE Transactions on Neural Networks and Learning Systems, 23(3): 480-491, 2012
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Computation of Multilayer Perceptron Sensitivity to Input Perturbation, Neurocomputing, online published, 2012
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An Effective Neural Network Ensemble Approach for Improving Generalization Performance, IEEE Transactions on Neural Networks and Learning Systems, acceptable for publication, 2012