Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran Article

Panahi, Mahdi, Khosravi, Khabat, Ahmad, Sajjad et al. (2021). Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran . 35 10.1016/j.ejrh.2021.100825

Open Access International Collaboration

cited authors

  • Panahi, Mahdi; Khosravi, Khabat; Ahmad, Sajjad; Panahi, Somayeh; Heddam, Salim; Melesse, Assefa M; Omidvar, Ebrahim; Lee, Chang-Wook

sustainable development goals

authors

publication date

  • June 1, 2021

keywords

  • CNN
  • Cumulative infiltration
  • Deep learning
  • GENETIC ALGORITHM
  • HYDRAULIC CONDUCTIVITY
  • IMPERIALIST COMPETITIVE ALGORITHM
  • Infiltration rate
  • Iran
  • MODEL
  • Metaheuristic
  • NEURAL-NETWORKS
  • Physical Sciences
  • RANDOM FOREST
  • SOIL-MOISTURE
  • SUPPORT VECTOR REGRESSION
  • SURFACE BACKSCATTER RESPONSE
  • Science & Technology
  • TRMM PRECIPITATION RADAR
  • Water Resources

Digital Object Identifier (DOI)

publisher

  • ELSEVIER

volume

  • 35