Monthly Rainfall Forecasting Using EEMD-SVR Based on Phase-Space Reconstruction

By Q. Ouyang, Wenxi Lu, Xin Xin, Yu Zhang, W. Cheng, Ting Yu. Water resources management, 2016

92 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/a80ae7a5d6ba7dfd8abdd354f47bcee7f3fa1fb2

How researchers see this paper

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

In Electrical and Electronic Engineering

1. Kwok-Wing Chau
2. Pınar Öztürk
3. Amir Mosavi

In Environmental Engineering

1. Amir Mosavi
2. Pınar Öztürk
3. Kwok-Wing Chau
4. Ozgur Kisi
5. Hossein Bonakdari
6. Isa Ebtehaj
7. U. Aksoy
8. B. B. Ekici

In Global and Planetary Change

1. Amir Mosavi
2. Pınar Öztürk
3. Kwok-Wing Chau
4. Ozgur Kisi
5. U. Aksoy
6. B. B. Ekici

Citations in the corpus

• Flood Prediction Using Machine Learning Models: Literature Review (2018, background): “…the readers which ML methods increased in popularity among hydrologists for flood modeling within the past decade. increased in popularity among hydrologists for flood modeling within the past performance of decomposition and prediction models in terms of additivity and generalization ability [146].”