The OFR algorithm, which is also known as the OLS (Orthogonal Least Squares) or the FOLSR (Forward Orthogonal Least Squares Regression) algorithm, determines the model structure of nonlinear systems based on the ERR (Error Reduction Ratio) criterion without any a priori knowledge except for the specification of an ...
Oct 2, 2014
The new algorithm searches for the optimal solution on a global solution space while maintaining the advantage of simplicity and computational efficiency. Both ...
A novel iterative learning algorithm is proposed to improve the classic Orthogonal Forward Regression (OFR) algorithm in an attempt to produce an optimal ...
A novel iterative learning algorithm is proposed to improve the classic Orthogonal Forward Regression (OFR) algorithm in an attempt to produce an optimal ...
A novel iterative learning algorithm is proposed to improve the classic Orthogonal Forward Regression algorithm in an attempt to produce an optimal solution ...
The new algorithm searches for the optimal solution on a global solution space while maintaining the advantage of simplicity and computational efficiency. Both ...
Nov 14, 2014 · A novel iterative learning algorithm is proposed to improve the classic orthogonal forward regression (OFR) algorithm in an attempt to ...
Wang QWei HWang LXu S(2021)A novel time-varying modeling and signal processing approach for epileptic seizure detection and classificationNeural Computing ...
Nov 16, 2016 · The new algorithm searches for the optimal solution on a global solution space while maintaining the advantage of simplicity and computational ...
An improved Extended Forward Orthogonal Regression algorithm is proposed to promote the efficiency in computation. •. The proposed algorithm can circumvent the ...