Inflow forecasting using regularized extreme learning machine: Haditha reservoir chosen as case study

Mohammed Majeed Hameed; Mohamed Khalid AlOmar; Abdulwahab A. Abdulrahman Al-Saadi; Mohammed Abdulhakim AlSaadi

doi:10.1007/s00477-022-02254-7

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Inflow forecasting using regularized extreme learning machine: Haditha reservoir chosen as case study

Mohammed Majeed Hameed Mohamed Khalid AlOmar Abdulwahab A. Abdulrahman Al-Saadi Mohammed Abdulhakim AlSaadi

Year: 2022 Journal: Stochastic Environmental Research and Risk Assessment Vol: 36 (12)Pages: 4201-4221 Publisher: Springer Science+Business Media

DOI: 10.1007/s00477-022-02254-7

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Keywords:

Inflow Overfitting Extreme learning machine Partial autocorrelation function Autocorrelation Statistics Mathematics Random forest Computer science Time series Machine learning Autoregressive integrated moving average Artificial neural network Meteorology Geography

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Hydrological Forecasting Using AI

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Inflow forecasting using regularized extreme learning machine: Haditha reservoir chosen as case study

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