A hybrid support vector regression–firefly model for monthly rainfall forecasting

By A. Danandeh Mehr, Vahid Nourani, V. Karimi Khosrowshahi, Mohammad Ali Ghorbani. International Journal of Environmental Science and Technology, 2018

117 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/92c8bcc71dc1691ce1af160c49257bf51b07d367

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Babak Mohammadi
2. Pouya Aghelpour
3. Seyed Mostafa Biazar

In Global and Planetary Change

1. Babak Mohammadi

In Water Science and Technology

1. Babak Mohammadi

Citations in the corpus

• Long-term monthly average temperature forecasting in some climate types of Iran, using the models SARIMA, SVR, and SVR-FA (2019, methodology): “…addition to SVR model, we have used SVR-FA (support vector regression-Firefly algorithm) like Kavousi-Fard et al. 2014, Moazenzadeh et al. 2018, and Mehr et al. 2019, in a study for long-term forecasting of monthly average temperature, because optimization methods are commonly used to calibrate…”