参考文献
[1]Bernier J L,Ortega J,Rojas I,et al.A Quantitive Study of Fault Tolerance,Noise Immunity and Generalization Ability of MLPs[J].Neural Computation,2000,12(1):2941-2964.
[2]Yeung D S,Ng W W Y,Wang D,et al.Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network[J].IEEE Transactions on Neural Networks,2007,18(5):1294-1305.
[3]Engelbrecht A P.A New Pruning Heuristric Based on Variance Analysis of Sensitivity Information [J].IEEE Transactions on Neural Networks,2001,12(6):1386-1399.
[4]Zeng X,Yeung D S.Hidden Neuron Pruning of Multilayer Perceptrons Using a Quantified Sensitivity Measure[J].Neurocomputing,2006,69(7-9):825-837.
[5]Zeng X,Shao J,Wang Y.A Sensitivity-based Approach for Pruning Architecture of Madalines[J].Neural Computing & Applications,2009,18(1):957-965.
[6]Chan P P K,Zeng X,Tsang E E C,et al.Neural Network Ensemble Pruning Using Sensitivity Measure in Web Appli-cations[C]//Proceedings of International Conference on System,Man and Cybernetics.Washington D.C.,USA:IEEE Press,2007:125-
134.
[7]Shi D,Yeung D S,Gao J.Sensitivity Analysis Applied to the Construction of Radial Basis Function Networks[J].IEEE Transactions on Neural Networks,2005,18(7):951-957.
[8]Yeung D S,Chan P P K,Ng W W Y.Radial Basis Function Network Learning Using Localized Generalization Error Model[J].Information Science,2009,32(1):3199-3217.
[9]Yang Jing,Zeng Xiaoqin,Zhong Shuiming,et al.Effective Neural Network Ensemble Approach for Improving Generalization Performace[J].IEEE Transactions on Neural Networks and Learning Systems,2013,24(6):878-887.
[10]Ng W W Y,Yeung D S,Firth F,et al.Feature Selection Using Localized Generalization Error for Supervised Classification Problem for RBFNN[J].Pattern Recognition,2008,23(1):3706-3719.
[11]钟水明,曾晓勤,刘惠义,等.基于离散随机技术的Madaline敏感性近似计算研究[J].中国科学F辑,2011,41(2):157-172.
[12]Cheng A Y,Yeung D S.Sensitivity Analysis of Neocognitron[J].IEEE Transactions on System,Man and Cybernetics-Part C:Applications and Reviews,1999,29(2):238-249.
[13]Shi D,Yeung D S,Gao J.Sensitivity Analysis Applied to the Contruction of Radial Basis Function Networks[J].Neural Networks,2005,18(7):951-957.
[14]Yang Jing,Liu Yanjun.Sensitivity Analysis of Spiking Neuron Synapse[C]//Proceedings of EMEIT’11.Harbin,China:[s.n.],2011:4310-4313.
[15]Zeng X,Yeung D S.A Quantified Sensitvity Measure for Multilayer Perceptron to Input Perturbation[J].Neural Computation,2003,15(1):183-212.
[16]Yang S,Ho C,Siu S.Sensitivity Analysis of the Split-complex Valued Multilayer Perceptron Due to the Errors of the i.i.d.Inputs and Weights[J].IEEE Transactions on Neural Networks,2007,18(5):1280-1293.
[17]Yang S,Ho C,Siu S.Computation and Anlyziing the Sensitivity of MLP Due to the Errors of the i.i.d.Inputs and Weights Based on CLT[J].IEEE Transactions Neural Networks,2010,21(12):1882-1891.
[18]Yang Jing,Zeng Xiaoqin,Zhong Shuiming.Computation of Multilayer Perceptron Sensitivity to Input Perturbation[J].Neuroncomputing,2013,99(1):390-398.
[19]李贤平.概率论基础[M].北京:高等教育出版社,1997.
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