Parameter Estimation of RBF-AR Model Based on the EM-EKF Algorithm

机标关键词：expectation maximization、extended Kalman filter、radial basis function、parameter optimization、initial conditions、Kalman filtering、prior knowledge、noise variance、RBF network、noise ratio、type of、low SNR

所属期刊栏目：43

分类号：TP3;S9

资助基金：the National Natural Science Foundation of China51507015,61773402,61540037,71271215,61233008,51425701,70921001,51577014;the Natural Science Foundation of Hunan Province2015JJ3008;the Key Laboratory of Renewable Energy Electric-Technology of Hunan Province2014ZNDL002;Hunan Province Science and Technology Program2015NK3035

在线出版日期：2017-12-01（万方平台首次上网日期，不代表论文的发表时间）

页数：共8页

页码：1636-1643