Spindle Thermal Error Prediction Based on Back Propagation Neural Network and Hybrid Taguchi Genetic Algorithm for a Computer Numerical Control Machine Tool
In this study, a search was made for the optimal training parameters for a back propagation neural network (BPNN) using the hybrid Taguchi genetic algorithm (HTGA). This was conducted to enhance the predictive accuracy of the model and solve the difficult problem of BPNN parameter adjustment. The 10...
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Veröffentlicht in: | Sensors and materials 2023-01, Vol.35 (12), p.4397 |
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Sprache: | eng |
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