Prediction of surface roughness based on a hybrid feature selection method and long short-term memory network in grinding

Ground surface roughness is regarded as one of the most crucial indicators of machining quality and is hard to be predicted due to the random distribution of abrasive grits and sophisticated grinding mechanism. In order to estimate surface roughness accurately in grinding process and provide feasibl...

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