Supermodeling by combining imperfect models

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Selten et al 2011, Supermodeling by Combining Imperfect Models.pdf (561.61 KB)

Date

2011

Authors

Editor

Advisor

Volume

7

Issue

Journal

Procedia Computer Science

Series Titel

Book Title

Publisher

Amsterdam : Elsevier B.V.

Supplementary Material

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Link to publishers' Version

https://doi.org/10.1016/j.procs.2011.09.025

Abstract

SUMO (Supermodeling by combining imperfect models) is a three-year project funded under FET Open program with a starting date October, 1, 2010. We review some basic facts and findings of the SUMO project.

Description

Keywords

Climate science, Machine learning, Nonlinear dynamics, Climate science, Machine-learning, Non-linear dynamics, MESFET devices, Climate models

Keywords GND

Conference

Publication Type

Article

Version

publishedVersion

URI

https://doi.org/10.34657/3998
 https://oa.tib.eu/renate/handle/123456789/5369

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Informatik

License

CC BY-NC-ND 3.0 Unported
https://creativecommons.org/licenses/by-nc-nd/3.0/