Improving Ann-Based Short-Term and Long-Term Seasonal River Flow Forecasting with Signal Processing Techniques
Author:
Affiliation:
1. Department of Civil Engineering; Curtin University; Perth Australia
2. Department of Civil Engineering; The University of Hong Kong; Pokfulam Hong Kong
3. Research and Development Centre; Nippon Koei Co. Ltd; Tsukuba Japan
Publisher
Wiley
Subject
General Environmental Science,Water Science and Technology,Environmental Chemistry
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5. Impact of multi-resolution analysis of artificial intelligence models inputs on river flow forecasting;Badrzadeh;Journal of Hydrology,2013
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