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53篇 您的检索式:期刊名="Neural Networks IEEETransactions"
    题名 作者 年代 出处 被引量
1An overview of statistical learning theory显示文摘VAPNIK V N 1999Neural Networks IEEETransactions1999,10,5:1
2Neural networkadaptive control for a class of nonlinear uncertain dynamicalsystems with asymptotic stability guarantees 显示文摘Hayakawa T Haddad W M Hovakimyan N 2008IEEETransactions on Neural Networks2008,19,1:1
3Genetic evolution of the topology and weight distribution of neural networks显示文摘 1994IEEETransactions on Neural Networks1994,5,:1
4Local linear discriminantanalysis framework using sample neighbors显示文摘Fan Zizhu Xu Yong Zhang David 2011IEEETransactions on Neural Networks2011,22,7:1
5Fuzzy support vector machines显示文摘Lin C Wang S 2002IEEETransactions on Neural Networks2002,13,2:1
6An overview of statistical learning theory显示文摘VAPNIK V N 1999IEEETransactions on Neural Network1999,10,5:1
7Supportvector machines for spam categorization 显示文摘Drucker H WU Dong-hui Vapnik V N 1999IEEETransactions on Neural Networks1999,10,5:1
8A general regression neural network显示文摘SPECHT D F 1991IEEETransactions on Neural Networks/a Publication of the IEEENeural Networks Council1991,2,6:1
9Fuzzy wavelet neural network models forprediction and identification of dynamical systems 显示文摘Yilmaz S Oysal Y 2010IEEETransactions on Neural Networks2010,21,10:1
10Artificial neural networksfor solving ordinary and partial differential equations 显示文摘LAGARIS I E LIKAS A FOTIADIS D I 1998IEEETransactions on Neural Networks1998,9,5:1
11Artificial neural networksfor solving ordinary and partial differential equations 显示文摘LAGARIS I E LIKAS A FOTIADIS D I 1998IEEETransactions on Neural Networks1998,9,5:1
12Approximate solutions to ordinary diiFer-ential equations using least squares support vector machines显示文摘MEHRKANOON S FALCK T 2012IEEETransactions on Neural Networks2012,23,9:1
13Approximate solutions to ordinary diiFer-ential equations using least squares support vector machines显示文摘MEHRKANOON S FALCK T 2012IEEETransactions on Neural Networks2012,23,9:1
14A comparison of methods formulticlass support vector machines 显示文摘Hsu C W Lin C J 2002IEEETransaction on Neural Networks2002,13,2:1
15A Study on SMO-typeDecomposition Methods for Support Vector Machines显示文摘Chen P H Fan Rong’en Lin C J 2006IEEETransactions on Neural Networks2006,17,4:1
16Learning capability and storage capacityof two hidden-layer feedforward networks显示文摘Huang G B 2003IEEETransaction on Neural Networks*2003,14,2:1
17An overview of statistical learning theory 显示文摘Vapnik V N 1999IEEETransactions on Neural Networks1999,10,5:1
18PCA feature extrac-tion for change detection in multidimensional unlabeleddata 显示文摘KUNCHEVA L I FAITHFULL W J 2014Neural Networks and Learning Systems IEEETransactions on2014,25,1:1
19Efficient sparsegeneralized multiple kernel learning 显示文摘YANG H XU Z YE J 2011IEEETransactions on Neural Networks2011,22,3:1
20A growing and pruningmethod for radial basis function networks 显示文摘Bortman M Aladjem M 2009IEEETransactions on Neural Networks2009,20,6:1
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