Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea Article

Hakim, Wahyu Luqmanul, Rezaie, Fatemeh, Nur, Arip Syaripudin et al. (2021). Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea . JOURNAL OF ENVIRONMENTAL MANAGEMENT, 305 10.1016/j.jenvman.2021.114367

International Collaboration

cited authors

  • Hakim, Wahyu Luqmanul; Rezaie, Fatemeh; Nur, Arip Syaripudin; Panahi, Mahdi; Khosravi, Khabat; Lee, Chang-Wook; Lee, Saro

sustainable development goals

authors

publication date

  • December 27, 2021

webpage

published in

keywords

  • COUNTY
  • Convolutional neural network (CNN)
  • EVIDENTIAL BELIEF FUNCTION
  • Environmental Sciences
  • Environmental Sciences & Ecology
  • FREQUENCY RATIO
  • FUNCTION MODEL
  • GIS
  • IMPERIALIST COMPETITIVE ALGORITHM
  • Icheon
  • LOGISTIC-REGRESSION
  • Landslide susceptibility mapping
  • Life Sciences & Biomedicine
  • PERSISTENT
  • PREDICTION
  • PROVINCE
  • SCATTERERS
  • Science & Technology
  • South Korea

Digital Object Identifier (DOI)

publisher

  • ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD

volume

  • 305