The use of support vector machine, neural network, and regression analysis to predict and optimize surface roughness and cutting forces in milling

In the present study, prediction and optimization of the surface roughness and cutting forces in slot milling of aluminum alloy 7075-T6 were pursued by taking advantage of regression analysis, support vector regression (SVR), artificial neural network (ANN), and multi-objective genetic algorithm. Th...

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