Averaged Neural Network Integrated with Recursive Feature Elimination for Flood Hazard Assessment-Reference-Cited by-同舟云学术

Averaged Neural Network Integrated with Recursive Feature Elimination for Flood Hazard Assessment

Published:2023-05-23 Issue: Volume: Page:
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Container-title:2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)
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Author:

Choubin Bahram¹,Jaafari Abolfazl²,Henareh Jalal³,Hosseini Farzaneh Sajedi⁴,Mosavi Amir⁵

Affiliation:

1. West Azarbaijan Agricultural and Natural Resources Research and Education Center, AREEO,Soil Conservation and Watershed,Management Research Department,Urmia,Iran

2. Research Institute of Forests and Rangelands Agricultural Research, Education and Extension Organization (AREEO),Tehran,Iran

3. West Azarbaijan Agricultural and Natural Resources Research and Education Center, AREEO,Research Department of Natural Resources,Urmia,Iran

4. University of Tehran,Reclamation of Arid and Mountainous,Regions Department,Karaj,Iran

5. Obuda University,John von Neumann Faculty of Informatics,Budapest,Hungary

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10158523/10158534/10158640.pdf?arnumber=10158640

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3. Fuzzy Logic Model to Assess Desertification Intensity Based on Vulnerability Indices

4. Prediction of ground water quality index to assess suitability for drinking purposes using fuzzy rule-based approach

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