The data-driven approach as an operational real-time flood forecasting model
Author:
Affiliation:
1. School of Civil and Environmental Engineering; Nanyang Technological University; 50 Nanyang Avenue; Singapore; 639798; Singapore
Publisher
Wiley
Subject
Water Science and Technology
Reference34 articles.
1. Comparing neural network and autoregressive moving average techniques for the provision of continuous river flow forecasts in two contrasting catchments;Abrahart;Hydrological Processes,2000
2. Timing error correction procedure applied to neural network rainfall-runoff modelling;Abrahart;Hydrological Sciences Journal,2007
3. Artificial Neural Networks in Hydrology. Part I: Preliminary Concepts;ASCE Task Force Committee on Application of Artificial Neural Networks in Hydrology;Journal of Hydrologic Engineering,2000a
4. Artificial Neural Networks in Hydrology. Part II: Hydrologic Applications;ASCE Task Force Committee on Application of Artificial Neural Networks in Hydrology;Journal of Hydrologic Engineering,2000b
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