Robustness of Connectionist Swimming Controllers Against Random Variation in Neural Connections

DOI10.1162/neco.2007.19.6.1568zbMath1115.93026OpenAlexW2086780336WikidataQ48196754 ScholiaQ48196754MaRDI QIDQ3593963

Jimmy Or

Publication date: 6 August 2007

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/neco.2007.19.6.1568

zbMATH Keywords

robustnessneural networksoptimalitymaximum swimming speed

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Neural networks for/in biological studies, artificial life and related topics (92B20) Automated systems (robots, etc.) in control theory (93C85) Biomechanics (92C10) Stochastic systems in control theory (general) (93E03) Artificial intelligence for robotics (68T40)

Cites Work

• A combined neuronal and mechanical model of fish swimming

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