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An integrated Bayesian...
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

Labels

Fields of Research (FoR)