分野別セミナー

Locally Regularized Orthogonal Least Squares (LROLS) combined
with D-Optimality Experimental Design is an efficient identification
algorithm. This algorithm is used for RBF regression modeling with
high-dimensional regressor. Numerical experiments show that the
algorithm performs well and converges fast in various situations.