A novel gradient feature importance method for neural networks: an application to controller gain tuning for mobile robots

DOI10.1007/978-3-030-92442-3_8zbMath1504.93246OpenAlexW4205650373MaRDI QIDQ2101729

Roland Lenain, Ashley Hill, Eric Lucet

Publication date: 6 December 2022

Full work available at URL: https://doi.org/10.1007/978-3-030-92442-3_8

zbMATH Keywords

adaptive controlneural networkcontrol theorymobile robotroboticsmachine learninggain tuningexplainable artificial intelligence

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85)

Uses Software

• randomForest

Cites Work

• Adaptive and predictive path tracking control for off-road mobile robots
• Machine learning models and algorithms for big data classification. Thinking with examples for effective learning

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