Information Theory and Neural Networks for Managing Uncertainty in Flood Routing-Reference-Cited by-同舟云学术

Information Theory and Neural Networks for Managing Uncertainty in Flood Routing

Published:2004-10 Issue:4 Volume:18 Page:373-380
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Abebe A. J.¹,Price Roland K.²

Affiliation:

1. Research Fellow, IHF Delft, P.O. Box 3015, 2601DA Delft, The Netherlands. E-mail: abebe@ihe.nl

2. Professor of Hydroinformatics, IHE Delft, P.O. Box 3015, 2601DA Delft, The Netherlands. E-mail: rkp@ihe.nl

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290887-3801%282004%2918%3A4%28373%29

Reference17 articles.

1. Abarbanel H. (1996). Analysis of observed chaotic data Springer New York.

2. Abebe A.J. and Price R.K. (2000). “Application of neural networks to complement physically based hydrodynamic models.” Hydroinformatics 2000 (CD-Rom) Iowa Institute of Hydraulic Research Iowa City Iowa.

3. Neural Networks as Routine for Error Updating of Numerical Models

4. Babovic V. Keijzer M. and Bundzel M. (2000). “From global to local modelling: a case study in error correction of deterministic models.” Hydroinformatics 2000 (CD-Rom) Iowa Institute of Hydraulic Research Iowa City Iowa.

5. On The Subject Of A Flood Propagation Computation Method (Musklngum Method)

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