Estimation of Mean Annual Flood in Indian Catchments Using Backpropagation Neural Network and M5 Model Tree

By Krishnan P. Singh, Mahesh Pal, Vijay P. Singh. 2010

84 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/5e5f0d55789e22d688670a03b0a2658e6962f3db

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. Ozgur Kisi
2. Jan Adamowski
3. Kwok-Wing Chau
4. Masoud Karbasi
5. Ravinesh C. Deo
6. Mohammad Zounemat‐Kermani
7. C. Wu
8. Hossein Bonakdari

In Global and Planetary Change

1. Ozgur Kisi
2. Masoud Karbasi
3. Hossein Bonakdari
4. Babak Mohammadi
5. Babak Jahani
6. A. Zaji

In Water Science and Technology

1. Ozgur Kisi
2. Masoud Karbasi
3. Jan Adamowski
4. Ravinesh C. Deo
5. Kwok-Wing Chau
6. Mohammad Zounemat‐Kermani
7. A. Guven
8. Vahid Nourani

Citations in the corpus

• Wavelet Regression Model as an Alternative to Neural Networks for River Stage Forecasting (2011, methodology): “The application of the ANN method for river stage forecasting has received much attention in recent years (Thirumalaiah and Deo 1998, 2000; Openshaw et al. 1998; See and Openshaw 1999, 2000; Liong et al. 2000 ;C hau et al.2005; Ahmad and Simonovic 2006; Kim and Kim 2008; Wei and Hsu 2008; Singh et ”