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- W2366384625 abstract "Getting the learning samples by using orthogonal test method for surface grinding,and making use of BP artificial neural network model found out the relation between radial feeds,axial feeds,workbench speed and surface roughness.Through the training and simulating with MATLAB,founded the prediction model of surface roughness.The result shows that the model can get a higher accuracy of prediction.The average prediction error is 3.7%,the maximum is 7.9% in learning samples area.It provides a new-type feasible method for prediction of surface roughness." @default.
- W2366384625 created "2016-06-24" @default.
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- W2366384625 date "2011-01-01" @default.
- W2366384625 modified "2023-09-22" @default.
- W2366384625 title "Prediction Model of Surface Roughness of Plane Grinding Base on Artificial Neural Network" @default.
- W2366384625 hasPublicationYear "2011" @default.
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