Journal article
An integrated Bayesian least-squares-support-vector-machine factorial-analysis (B-LSVM-FA) method for inferring inflow from the Amu Darya to the Aral Sea under ensemble prediction
Abstract
An integrated Bayesian least-squares-support-vector-machine factorial-analysis (B-LSVM-FA) method is developed through integrating techniques of Bayesian inference, least squares support vector machine (LSVM), and factorial analysis (FA) into a general framework. B-LSVM-FA has advantages in: (i) capturing the complicated nonlinear relationship between input factors and streamflow, (ii) optimizing the key parameters of LSVM through a maximum …
Authors
Gao PP; Li YP; Huang GH; Su YY
Journal
Journal of Hydrology, Vol. 594, ,
Publisher
Elsevier
Publication Date
March 2021
DOI
10.1016/j.jhydrol.2020.125909
ISSN
0022-1694