Reducing Computational Costs of Automatic Calibration of Rainfall-Runoff Models: Meta-Models or High-Performance Computers?

Robust calibration of hydrologic models is critical for simulating water resource components; however, the time-consuming process of calibration sometimes impedes the accurate parameters’ estimation. The present study compares the performance of two approaches applied to overcome the computational c...

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Veröffentlicht in:	Water (Basel) 2018-10, Vol.10 (10), p.1440
Hauptverfasser:	Semiromi, Majid, Omidvar, Sorush, Kamali, Bahareh
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Data mining Economic aspects Hydraulic measurements Machine learning Mathematical optimization Multiprocessing Neural networks Rain and rainfall Runoff
Online-Zugang:	Volltext
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