Combining Back-propagation Neural Network with Bayesian Network to Adjust the Best-fitted Quadrant Protrusion Control Parameters in CNC Machine Tools
碩士 === 國立臺北科技大學 === 機械工程系機電整合碩士班 === 106 === The efficient adjustment of correction parameters in CNC machine tools on machining paths under different environmental conditions and accurate prediction of results in machining paths have always attracted considerable research interest. Compared with th...
Main Authors: | Li-Wei Lee, 李立維 |
---|---|
Other Authors: | 葉賜旭 |
Format: | Others |
Language: | zh-TW |
Published: |
2018
|
Online Access: | http://ndltd.ncl.edu.tw/handle/t5d6f8 |
Similar Items
-
OptimalTuning of Backlash Acceleration Parameter for Quadrant Protrusion Reduction in CNC Machine Tool
by: Chuan-Hsun Hsu, et al.
Published: (2015) -
Development and Application of Parameter-Adjusting Technology for Determining the Best-Fitted Control Parameters of CNC Machine Tools
by: Chi-Hsiang Wang, et al. -
The Study of Optimal-Parameters Adjustment for CNC Machine Tool
by: Li-Kai Su, et al.
Published: (2011) -
Application of Back-Propagation Neural Network for BGA Inspection System
by: Chen Wei-Han, et al.
Published: (2004) -
Application of Back-Propagation Neuron Network on the Demand casting of Fitness Equipment
by: YUAN MING CHIANG, et al.
Published: (2007)