5Azimi-Sadjadi M R, Citrin S. Fast learning process of multilayer neural nets using recursive least squares technique [J].IEEE Trans. SP, 1992, 40(2) :446 -450. 被引量:1
6Scalero R S, Tepedelenlioglu N A. Fast new algorithm for training feedforward neural networks[J]. IEEE Trans. SP, 1992,40(1 ) :201 -210. 被引量:1
7Vapnik V. The Nature of Statistical Learning Theory[ M ].Sprlnger-Verlag, NewYork, 1995. 被引量:1
8Yan W W , Shao H H, Application of support vector machine nonlinear classifier to fault diagnoses[ A ]. Proceedings of the 4^thorld Congress on Intelligent Control and Automation [C] , 2002 (June10 - 14) :2697-2700. 被引量:1
9Gao J F, Shi W G, Tan J X. Support vector machines based approach for fault diagnosis of valves in reciprocating pumps[A]. Proceedings of the 2002 IEEE Canadian Conference on Electrical & Computer Engineering[C], 2002. 被引量:1
10Knerr S, et al. Single-layer Learning Revisited : A Stepwise Procedure for Building and Training a Neural Network [M]. Springer, 1990. 被引量:1