An adaptive-network based fuzzy inference system for prediction of workpiece surface roughness in end milling

@inproceedings{Lo2003AnAB,
  title={An adaptive-network based fuzzy inference system for prediction of workpiece surface roughness in end milling},
  author={Ship-Peng Lo},
  year={2003}
}
Abstract An adaptive-network based fuzzy inference system (ANFIS) was used to predict the workpiece surface roughness after the end milling process. Three milling parameters that have a major impact on the surface roughness, including spindle speed, feed rate and depth of cut, were analyzed. Two different membership functions, triangular and trapezoidal, were adopted during the training process of ANFIS in this study in order to compare the prediction accuracy of surface roughness by the two… CONTINUE READING

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