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A robust methodology for optimizing the topology and the learning parameters of an ANN for accurate predictions of laser-cut edges surface roughness

John D. Kechagias, Aristeidis Tsiolikas, Markos Petousis, Konstantinos Ninikas, Nectarios Vidakis, Lazaros Tzounis

2021Simulation Modelling Practice and Theory55 citationsDOI

Topics & Concepts

BackpropagationArtificial neural networkSurface roughnessTaguchi methodsMean squared errorOrthogonal arrayFractional factorial designSurface finishDesign of experimentsAlgorithmArtificial intelligenceMathematicsFactorial experimentComputer scienceMachine learningStatisticsEngineeringMaterials scienceMechanical engineeringComposite materialLaser Material Processing TechniquesSurface Roughness and Optical MeasurementsAdvanced machining processes and optimization
A robust methodology for optimizing the topology and the learning parameters of an ANN for accurate predictions of laser-cut edges surface roughness | Litcius