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Machine learning control — explainable and analyzable methods

Markus Quade, Thomas Isele, Markus Abel

2020Physica D Nonlinear Phenomena12 citationsDOI

Topics & Concepts

Symbolic regressionComputer scienceGenetic programmingArtificial intelligenceMachine learningFocus (optics)ContinuationArtificial neural networkDynamical systems theoryInterpretation (philosophy)Control (management)OpticsPhysicsProgramming languageQuantum mechanicsEvolutionary Algorithms and ApplicationsNeural Networks and ApplicationsGene Regulatory Network Analysis
Machine learning control — explainable and analyzable methods | Litcius