Rainfall–runoff modeling using artificial neural network coupled with singular spectrum analysis

By C. Wu, Kwok-Wing Chau. 2011

364 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/e9dbbc4abd60168c00c25999849efda32fa60121

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. Yanlai Zhou
2. Hua Chen
3. Yun Wang
4. Shenglian Guo

In Global and Planetary Change

1. Yanlai Zhou
2. Hua Chen
3. Yun Wang
4. Shenglian Guo

In Water Science and Technology

1. Yanlai Zhou
2. Hua Chen
3. Yun Wang
4. Shenglian Guo

Citations in the corpus

• Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition (2019, methodology): “In recent time, ANN applied to PR in rainfall modeling [166], and sugarcane growth [167] using meteorological parameters, which shows effective performance.”
• Comparative study of monthly inflow prediction methods for the Three Gorges Reservoir (2014, background): “However, a runoff time series can be viewed as a combination of quasi-periodic signals contaminated by noise (Wu and Chau 2011).”