Abstract: In this study, a hybrid robust LS-SVMR approach is proposed to deal with training data sets with outliers dor MIMO system.
In this study, a hybrid robust LS-SVMR approach is proposed to deal with training data sets with outliers dor MIMO system. The proposed approach consists of ...
In this study, a hybrid robust LS-SVMR approach is proposed to deal with training data sets with outliers dor MIMO system. The proposed approach consists of ...
Hybrid robust LS-SVMR with outliers for MIMO system. - dblp
dblp.uni-trier.de › rec › smc › TaoCLCJ10
Bibliographic details on Hybrid robust LS-SVMR with outliers for MIMO system.
Oct 22, 2024 · In this study, a hybrid robust support vector machine for regression is proposed to deal with training data sets with outliers.
Missing: MIMO | Show results with:MIMO
In this paper, for the robustness problem of LS-SVMR, we propose the least trimmed squares support vector machine regression (LTS-SVMR) which is the hybrid of ...
Jul 19, 2019 · This study analyzes the superiority of weighted Least Square Support Vector Machine Regression (LS-SVMR) in the field of system identification ...
Hybrid robust LS-SVMR with outliers for MIMO system. SMC 2010: 3839-3844. [+] ... Robust TSK fuzzy modeling for function approximation with outliers.
Chin-Wang Tao, Chen-Chia Chuang, Meng-Hua Lai, Song-Shyong Chen, Jin-Tsong Jeng: Hybrid robust LS-SVMR with outliers for MIMO system. SMC 2010: 3839-3844.
A novel support vector regression for data set with outliers. Jie Hu, Kai Zheng. 2015, Applied Soft Computing. Hybrid robust LS-SVMR with outliers for MIMO ...