Data Fusion Methods for Integrating Data-driven Hydrological Models

DOI10.1007/978-3-540-75384-1_1zbMath1323.76087OpenAlexW208040051MaRDI QIDQ3449345

Linda See

Publication date: 4 November 2015

Published in: Quantitative Information Fusion for Hydrological Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-75384-1_1

Mathematics Subject Classification ID

Hydrology, hydrography, oceanography (86A05) Stochastic analysis applied to problems in fluid mechanics (76M35)

Uses Software

• HydroTest

Cites Work

• Bagging predictors
• Self-organization and associative memory
• Modular learning models in forecasting natural phenomena.
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