Therefore, an online support vector regression (OSVR) is set up, which is a function approximator to estimate value functions in reinforcement learning. OSVR updates the regression function by analyzing the possible variation of support vector sets after new samples are inserted to the training set...
In this paper, a new short-term traffic flow prediction model and method based on online support vector regression (OSVR) is proposed, according to the data collected sequentially by the probe vehicle or the loop detectors, which can update the forecasting function in real time via online learni...
关键词:鲁棒学习算法;最小二乘支持向量机;鲁棒性;非线性中图分类号:TP273文献标识码:AModelingmethodofonlinerobustleast-squares-support-vectorregressionZHANGShu—ningI,ⅥNGFu—Ii1,-,HEDa—kuoI,2,JIARun—daa(1.SchoolofInformafionScience&Engineering,NortheasternUniversity,ShenyangLiaoning110004,China;2.StateKey...
基于在线支持向量回归(OnlineSupportVectorRegression,OnlineSVR)的时间序列预测方法凭借其良好的统计理论基础和应用效果,已经成为时间序列分析技术研究领域的主要发展方向,并逐步在各个应用领域得到推广。OnlineSVR算法作为一种在线回归建模方法,能够实现模型在线动态更新,但是,其算法计算复杂度较高,还难以充分满足现实应用中...
Support vector regression (SVR) is an effective method for the predication of chaotic time-series, which is a fundamental topic of nonlinear dynamics. Through analyzing the possible variation of support vector sets after new samples are inserted to the t
Online least square support vector regression (LS-SVR) is an extension from a standard SVR for fast learning. In this paper, we consider a combination of the online LS-SVR and semi-supervised learning in order to boost estimation accuracy. The semi-supervised learning is useful for real-time...
展开 关键词: Short-term flow forecast Intelligent transportation systems (ITS) Online support vector machine (OL-SVM) Online support vector regression (OL-SVR) Traffic volume prediction DOI: 10.1016/j.eswa.2008.07.069 被引量: 397 年份: 2009 收藏...
2.3. Support Vector Regression Model Support vector classification (SVC) and support vector regression (SVR) are the two main categories for SVM. We established the SVR model for prediction, since we tend to get the growth rate of CHO with 7 medium supplements and to recognize the most importa...
Machine learning refers to a methodology wherein computer algorithms, such as linear regression and decision trees, automatically improve and optimize through training (Khandani et al., 2010; Wu et al., 2021). Supervised learning algorithms must perform classification learning according to training samp...
Longitudinal dynamic functional regression J. Roy. Stat. Soc.: Ser. C (Appl. Stat.), 69 (2020), pp. 25-46, 10.1111/rssc.12376 https://onlinelibrary.wiley.com/doi/abs/10.1111/rssc.12376 View in ScopusGoogle Scholar Theil, 2015 Theil, P., 2015. 7. Transition feeding of sows, in:...