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Correction to: Optimal Design and Feature Selection by Genetic Algorithm for Emotional Artificial Neural Network (EANN) in Rainfall-Runoff Modeling

Author

Listed:
  • Amir Molajou

    (University of Science & Technology)

  • Vahid Nourani

    (University of Tabriz
    Near East University)

  • Abbas Afshar

    (University of Science & Technology)

  • Mina Khosravi

    (University of Science & Technology)

  • Adam Brysiewicz

    (Institute of Technology and Life Sciences)

Abstract

A correction to this paper has been published: https://doi.org/10.1007/s11269-021-02861-z

Suggested Citation

  • Amir Molajou & Vahid Nourani & Abbas Afshar & Mina Khosravi & Adam Brysiewicz, 2021. "Correction to: Optimal Design and Feature Selection by Genetic Algorithm for Emotional Artificial Neural Network (EANN) in Rainfall-Runoff Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2385-2385, June.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:8:d:10.1007_s11269-021-02861-z
    DOI: 10.1007/s11269-021-02861-z
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    Cited by:

    1. Abbas Afshar & Elham Soleimanian & Hossein Akbari Variani & Masoud Vahabzadeh & Amir Molajou, 2022. "The conceptual framework to determine interrelations and interactions for holistic Water, Energy, and Food Nexus," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(8), pages 10119-10140, August.

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