Artificial neural networks and multiple linear regression for filling in missing daily rainfall data

HIGHLIGHTS

• who: Ioannis Papailiou and collaborators from the School of Chemical and Environmental Engineering, Technical University of Crete, Chania, Greece have published the paper: Artificial Neural Networks and Multiple Linear Regression for Filling in Missing Daily Rainfall Data, in the Journal: Water 2022, 14, 2892. of 30/09/2010
• what: In this paper a methodology utilizing ensembles of artificial neural networks is developed with the goal of estimating missing precipitation data in the extended region of Chania Greece on a daily timestep. A work similar to this article has been conducted using meteorological data from the . . .
  

   

  

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