The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction

Balancing; Forecasting; Stream flow; Support vector machines; Exploitation and explorations; Machine learning models; Optimisations; Optimization algorithms; Prediction modelling; Simulated annealing integrated with mayfly optimization; Streamflow prediction; Support vector regression models; Suppor...

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Bibliographic Details
Main Authors: Adnan R.M., Kisi O., Mostafa R.R., Ahmed A.N., El-Shafie A.
Other Authors: 56689592000
Format: Article
Published: Taylor and Francis Ltd. 2023
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Institution: Universiti Tenaga Nasional
Description
Summary:Balancing; Forecasting; Stream flow; Support vector machines; Exploitation and explorations; Machine learning models; Optimisations; Optimization algorithms; Prediction modelling; Simulated annealing integrated with mayfly optimization; Streamflow prediction; Support vector regression models; Support vector regressions; Support vectors machine; Simulated annealing; algorithm; mayfly; optimization; prediction; streamflow; support vector machine; Jhelum River