Citation: | Wang Tianmiao, Wang Wei, Wei Hongxing, et al. LS-SVM method for dynamic weighing velocity compensation about loaders[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(11): 1340-1344. (in Chinese) |
[1] Vapnik V N. The nature of statistical learning theory[M]. New York: Springer-Verlag, 1995 [2] Suykens J A K. Nonlinear modeling and support vector machines Conference Record-IEEE Instrumentation and Measurement Technology Conference.Piscataway,NJ:IEEE,2001,1:287-294 [3] Kowk J T. The evidence framework applied to support vector machines[J]. IEEE Transactions on Neural Network,2000,11(5):1162-1173 [4] Mackay D J C. Probable networks and plausible predictions-A review of practical Bayesian methods for supervised neural networks[J]. Network Computation in Neural Systems,1995,6:469-505 [5] Gestel T V, Suykens J A K, Baestaens D E, et al. Financial time series prediction using least squares support vector machines within the evidence framework [J]. IEEE Transactions on Neural Network, 2001,12(4):809-820 [6] Van Gestel T, Espinoza M, Baesens B, et al. A Bayesian nonlinear support vector machine error correction model[J]. Journal of Forecasting,2006,25(2):77-100 [7] 王伟,王田苗. 装载机载重动态测量动力学分析与实现方法[J].中国机械工程,2006,11(22): 2333-2337 Wang Wei, Wang Tianmiao. Kinetics analysis and method of dynamic weighing about wheel loader[J]. China Mechanical Engineering, 2006, 11(22):2333-2337 (in Chinese)
|