4Dong Y L, Xia Z H, Xia Z Q. A two-level approach to choose the cost parameter in support vector machines [J]. Expert Systems with Applications, 2008, 34(2): 1366-1370. 被引量：1
5Ayat N E, Cheriet M, Suen C Y. Automatic model selection for the optimization of SVM kernels [J]. Pattern Recognition, 2005, 38(10) : 1733-1745. 被引量：1
6Avci E. Selecting of the optimal feature subset and kernel parameters in digital modulation classification by using hybrid genetic algorithm-support vector machines: HGASVM [J]. Expert Systems with Applications, 2009, 36(2): 1391-1402. 被引量：1
7Keersthi S S. Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms[J]. IEEE Trans on Neural Networks, 2002, 13(5) : 1225-1229. 被引量：1
8Kennedy J, Eberhart R C. Particle swarm optimization [C]. Proc IEEE Conf on Neural Networks. Perth:Piscataway, 1995, 4: 1942-1948. 被引量：1
9Clerc M, Kennedy J. The particle swarm explosion, stability, and convergence in a multidimensional complex space [ J]. IEEE Trans on Evolutionary Computation, 2002, 6(1): 58-73. 被引量：1
10Opitz D W. Feature selection for ensembles[C]//Proceedings of 16th National Conference on Artificial Intelligence (AAAI-99). Orlando, FL, USA, 1999 : 379-384. 被引量：1
