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An Artificial Neural Network for Computing Sediment Transport

by Roy Trent, Federal Highway Administration, McLean, United States,
Albert Molinas, Federal Highway Administration, McLean, United States,
Nicolas Gagarin, Federal Highway Administration, McLean, United States,



Document Type: Proceeding Paper

Part of: Hydraulic Engineering

Abstract:

This paper describes the use of artificial neural network (ANN) analysis as a computing device for estimating sediment transport in open channels. The application was developed from 1,455 data sets extracted from laboratory and field records assembled (Yang, 1982) and used for developing formulas and regression equations adopted and used in BRI-STARS (Molinas, 1992) for sediment accounting. The network was trained to estimate sediment transport for all channel and bed material types. The advantage of this ANN application is that it can be nested in BRI-STARS or other sediment transport models without the need to select the most suitable transport equation.

Subject Headings: Sediment transport | Neural networks | Transportation networks | Computer models | Computer analysis | Regression analysis | Computer networks

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