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Application of Emotional Neural Network in Modeling Evaporation

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11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021 (ICSCCW 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 362))

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Abstract

Evaporation is dominant component of the hydrological cycle and it has vital impact on soil moisture, surface water resources and ground water resources. So accurately evaporation modeling could be useful in management of water resources. In this study the classic Artificial Neural Network (ANN) and its novel version, Emotional ANN (EANN) were applied for modeling evaporation in monthly scale in multiple stations with different climatological conditions. The stations were selected from Iran, Iraq, Turkey and Libya. Mean temperature, relative humidity and solar radiation were applied as inputs of modeling via the ANN and EANN. The obtained results of this study indicated that ANN and EANN showed different performance in various type of climates. EANN could properly be applied in modeling evaporation in semi-arid climates but ANN led to suitable performance in arid climates. In addition, results showed that EANN could perform better in modeling non-linear processes due to concluding the emotional units.

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Author information

Authors and Affiliations

  1. Faculty of Engineering, Department of Electrical and Electronic Engineering, Near East University, POBOX 99138, Nicosia, TRNC, Mersin, 10, Turkey

    Fahreddin Sadikoglu

  2. Faculty of Civil Engineering, Department of Water Resources Engineering, University of Tabriz, Tabriz, Iran

    Vahid Nourani, Nardin Jabbarian Paknezhad & Soheil Emamalipour

Authors
  1. Fahreddin Sadikoglu
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  2. Vahid Nourani
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  3. Nardin Jabbarian Paknezhad
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  4. Soheil Emamalipour
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Corresponding author

Correspondence to Vahid Nourani .

Editor information

Editors and Affiliations

  1. Department of Control Systems, Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Rafik A. Aliev

  2. System Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  4. Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA

    Mo Jamshidi

  5. Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Mustafa Babanli

  6. Department of Mechatronics, Near East University, North Cyprus, Turkey

    Fahreddin M. Sadikoglu

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Sadikoglu, F., Nourani, V., Paknezhad, N.J., Emamalipour, S. (2022). Application of Emotional Neural Network in Modeling Evaporation. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F.M. (eds) 11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021. ICSCCW 2021. Lecture Notes in Networks and Systems, vol 362. Springer, Cham. https://doi.org/10.1007/978-3-030-92127-9_18

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