Volume 33 Issue 11
Nov.  2007
Turn off MathJax
Article Contents
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)
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)

LS-SVM method for dynamic weighing velocity compensation about loaders

  • Received Date: 27 Oct 2006
  • Publish Date: 30 Nov 2007
  • Whether or not to compensate the oil pressure because of lift crane velocity reasonably, i.e., the velocity compensation was thought to be the key to obtain accurate dynamic weighing about loaders. After the method of dynamic weighing was given, the parameter inferring course of least square support vector machines (LS-SVM) within Bayesian evidence framework was introduced. Then the frame model of velocity compensation based on LS-SVM was given, and the means of velocity compensation and the course of weight computing were introduced in detail. Test results indicate that using LS-SVM within Bayesian evidence framework for solving velocity compensation, a relative measuring error within 1% can be obtained, which verifies that the validity of the method.

     

  • loading
  • [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)
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views(3249) PDF downloads(920) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return