ARTIFICIAL
NEURAL NETWORKS IN HYDROLOGY
Artificial
Neural Networks in Hydrology (by USDA)
I: Preliminary
Concepts
II: Hydrologic
Applications
Artificial
Neural Networks in Hydrology (by Springer)
Introduction
R. S. Govindaraju, A. Ramachandra Rao
1. Effective and Efficient Modeling for Streamflow Forecasting
H. V. Gupta, K. Hsu, S. Sorooshian
2. Streamflow Forecasting Based on Artificial Neural Networks
J. D. Salas, M. Markus, A. S. Tokar
3. Real Time Forecasting Using Neural Networks
M. C. Deo, K. Thirumalaiah
4. Modular Neural Networks for Watershed Runoff
Bin Zhang, Rao S. Govindaraju
5. Radial-Basis Function Networks
Rao S. Govindaraju, Bin Zhang
6. Artificial Neural Networks in Subsurface Characterization
Donna M. Rizzo, David E. Dougherty
7. Optimal Groundwater Remediation Using Artificial Neural Networks
L. L. Rogers, V. M. Johnson, F. U. Dowla
8. Adaptive Neural Networks in Regulation of River Flows
J. Mohan Reddy, Bogdan M. Wilamowski
9. Identification of Pollution Sources Via Neural Networks
G. M. Brion, S. Lingireddy
10. Spatial Organization and Characterization of Soil Physical Properties Using Self-Organizing Maps
Shafiqul Islam, Ravi Kothari
11. Rainfall Estimation from Satellite Imagery
K.-L. Hsu, H. V. Gupta, X. Gao, S. Sorooshian
12. Streamflow Data Infilling Techniques Based on Concepts of Groups and Neural Networks
U. S. Panu, M. Khalil, A. Elshorbagy
13. Spatial Analysis of Hydrologic and Environmental Data Based on Artificial Neural Networks
Hyun-Suk Shin, Jose D. Salas
14. Application of Artificial Neural Networks to Forecasting of Surface Water Quality Variables: Issues, Applications and Challenges
H. R. Maier, G. C. Dandy
15. Long Range Precipitation Prediction in California: A Look Inside the “Black Box” of a Trained Network
David Silverman, John A. Dracup
Water Science and Technology Library
