A Regression Neural Model for In-Process Surface Roughness Monitoring in End Milling Operations
The key element of the in-process surface roughness monitoring system is the decision-making model, which is utilized to analyze the input factors and then to generate a proper output. The success of the in-process monitoring system depends on the accuracy of the decision-making model. To increase t...
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Veröffentlicht in: | Key engineering materials 2010-01, Vol.419-420, p.369-372 |
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Format: | Artikel |
Sprache: | eng |
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