Application of Deep Neural Network combined with Genetic Algorithm in CNC Motion Control Parameters Optimization
碩士 === 國立中興大學 === 機械工程學系所 === 105 === The research provide a rapidly tuning method of CNC motion control parameters to bring the performance of the machine tool into full play base on the dynamic characteristic. Currently, the machine tool industries stll tune the CNC parameters base on the experien...
Main Authors: | Yi-Sheng Chen, 陳易聖 |
---|---|
Other Authors: | Jenq-Shyong Chen |
Format: | Others |
Language: | zh-TW |
Published: |
2017
|
Online Access: | http://ndltd.ncl.edu.tw/handle/60872857967668738528 |
Similar Items
-
Application of the Neural Network to CNC Controller Parameters Optimization
by: Li-Hsien Peng, et al.
Published: (2019) -
Application of Deep Neural Network to CNC Parameters and Machining Index for Dynamic Performance Prediction and Optimization
by: Bei-Hua Yang, et al.
Published: (2018) -
Identification of Optimal Parameters from CNC Controller by Using Genetic Algorithm
by: Tsung-heng Hsieh, et al.
Published: (2008) -
Determining machining parameters on CNC lathes using heuristic optimization algorithms
by: 陳穆臻
Published: (1997) -
Building a Predicted Corner and Circle Error Model for a CNC Machine with Genetic Algorithm Optimization on a General Regression Neural Network
by: Yang,Zi-Sheng, et al.
Published: (2019)