Water and Energy International
SCOPUS
  • Year: 2012
  • Volume: 69
  • Issue: 12

A New Measure for Assessing the Efficiency of Hydrological Data-Driven Forecasting Models

  • Author:
  • Seok Hwan Hwang, Dae Heon Ham, Joong Hoon Kim
  • Total Page Count: 1
  • Page Number: 67 to 67

Hydrological Sciences Journal – Journal des Sciences Hydrologiques, Volume 57, Issue 7, 2012

Keywords

persistence, autocorrelation, support vector machine, forecasting efficiency