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Correction to: Comparison of Self‑Organizing Map, Artificial Neural Network, and Co‑Active Neuro‑Fuzzy Inference System Methods in Simulating Groundwater Quality: Geospatial Artificial Intelligence

Author

Listed:
  • V. Gholami

    (University of Guilan)

  • M. R. Khaleghi

    (Islamic Azad University)

  • S. Pirasteh

    (Southwest Jiaotong University)

  • Martijn J. Booij

    (University of Twente)

Abstract

No abstract is available for this item.

Suggested Citation

  • V. Gholami & M. R. Khaleghi & S. Pirasteh & Martijn J. Booij, 2022. "Correction to: Comparison of Self‑Organizing Map, Artificial Neural Network, and Co‑Active Neuro‑Fuzzy Inference System Methods in Simulating Groundwater Quality: Geospatial Artificial Intelligence," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 471-471, January.
    • Handle: RePEc:spr:waterr:v:36:y:2022:i:2:d:10.1007_s11269-021-03049-1
    DOI: 10.1007/s11269-021-03049-1
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    Cited by:

    1. Thiago Victor Medeiros Nascimento & Celso Augusto Guimarães Santos & Camilo Allyson Simões Farias & Richarde Marques Silva, 2022. "Monthly Streamflow Modeling Based on Self-Organizing Maps and Satellite-Estimated Rainfall Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(7), pages 2359-2377, May.
    2. Ning Sun & Sai Tang & Ju Zhang & Jiaxin Wu & Hongwei Wang, 2022. "Food Security: 3D Dynamic Display and Early Warning Platform Construction and Security Strategy," IJERPH, MDPI, vol. 19(18), pages 1-16, September.

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