How does a combination of numerical modeling, clustering, artificial intelligence, and evolutionary algorithms perform to predict regional groundwater levels? Article

Kayhomayoon, Zahra, Ghordoyee-Milan, Sami, Jaafari, Abolfazl et al. (2022). How does a combination of numerical modeling, clustering, artificial intelligence, and evolutionary algorithms perform to predict regional groundwater levels? . 203 10.1016/j.compag.2022.107482

International Collaboration

cited authors

  • Kayhomayoon, Zahra; Ghordoyee-Milan, Sami; Jaafari, Abolfazl; Arya-Azar, Naser; Melesse, Assefa M; Moghaddam, Hamid Kardan

sustainable development goals

authors

publication date

  • November 21, 2022

keywords

  • ANFIS
  • Agriculture
  • Agriculture, Multidisciplinary
  • Artificial intelligence models
  • Computer Science
  • Computer Science, Interdisciplinary Applications
  • Evolutionary algorithms
  • FLUCTUATIONS
  • Groundwater level
  • Groundwater stability
  • Life Sciences & Biomedicine
  • NEURAL-NETWORK
  • SIMULATION
  • Science & Technology
  • Spatial clustering
  • Technology

Digital Object Identifier (DOI)

publisher

  • ELSEVIER SCI LTD

volume

  • 203