Wavelet Analysis-Support Vector Machine Coupled Models for Monthly Rainfall Forecasting in Arid Regions

By Qi Feng, Xiaohu Wen, Jianguo Li. Water resources management, 2015

73 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/a72d7967487a6a2112405a74028a37098be498b5

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. A. Danandeh Mehr
2. V. Karimi Khosrowshahi
3. Mohammad Ali Ghorbani
4. Vahid Nourani

In Global and Planetary Change

1. Mohammad Ali Ghorbani
2. Vahid Nourani

In Water Science and Technology

1. A. Danandeh Mehr
2. V. Karimi Khosrowshahi
3. Mohammad Ali Ghorbani
4. Vahid Nourani

Citations in the corpus

• Monthly Rainfall Forecasting Using EEMD-SVR Based on Phase-Space Reconstruction (2016, methodology): “For data preprocessing, wavelet transform (WT) has been found to be a good choice in recent years (He et al. 2014; Suryanarayana et al. 2014; Feng et al. 2015).”
• A hybrid support vector regression–firefly model for monthly rainfall forecasting (2018, background): “However, it is one of the most scientifically and technologically challenging problems in stochastic hydrology (Mekanik et al. 2013; Feng et al. 2014).”