Precipitation-Runoff Modeling Using Artificial Neural Networks and Conceptual Models-Reference-Cited by-同舟云学术

Precipitation-Runoff Modeling Using Artificial Neural Networks and Conceptual Models

Published:2000-04 Issue:2 Volume:5 Page:156-161
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Tokar A. Sezin¹²,Markus Momcilo¹²

Affiliation:

1. Hydro., Consultant, Nat. Weather Service, 1325 East-West Hwy., Silver Spring, MD 20910-3283.

2. Sr. Hydro., Michael Baker, Jr., Inc., Alexandria, VA.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%291084-0699%282000%295%3A2%28156%29

Reference25 articles.

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2. French M. N. Krajewski W. F. and Cuykendall R. R. (1992). “Rainfall forecasting in space and time using a neural network.” J. Hydro. 137 1–13.

3. “The Great Flood of 1993.” (1994). NOAA Natural Disaster Survey Rep. National Weather Service Office of Hydrology Silver Spring Md.

4. Hsu K Gupta V. H. and Sorooshian S. (1995). “Artificial neural network modeling of the rainfall-runoff process.” Water Resour. Res. 31(10) 2571–2530.

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