Predicting impact of land cover change on flood peak using hybrid machine learning models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-08070-y.pdf
Reference38 articles.
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2. Ahmad A, Ghritlahre HK, Chandrakar P (2020) Implementation of ANN technique for performance prediction of solar thermal systems: a comprehensive review. Trends Renew Energy 6(1):12–36
3. Almeida RA, Pereira SB, Pinto DB (2018) Calibration and validation of the SWAT hydrological model for the Mucuri river basin. Eng Agríc 38:55–63
4. Atashpaz-Gargari,E, Lucas C (2007) Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition. In: 2007 IEEE congress on evolutionary computation. IEEE, pp 4661–4667
5. Awan JA, Bae DH (2014) Improving ANFIS based model for long-term dam inflow prediction by incorporating monthly rainfall forecasts. Water Resour Manag 28(5):1185–1199
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