吉林大学学报(工学版) ›› 2004, Vol. ›› Issue (2): 244-247.

Previous Articles     Next Articles

Neural network model for optimizing machining parameters

ZHU Xi-lin, WU Bo-da, WU Xing-xing   

  1. College of Mechanical Science and Engineering, Jilin University, Changchun, 130022, China
  • Received:2003-07-28 Online:2004-04-01

Abstract: Based on the comparison among the characteristics of different neural networks, a neural network model for optimizing machining parameters was proposed through the analysis of the errors reflecting phenomena in machining.Such a kind of neural network model having been trained can be used to determine the required process times and the process redundancy of each time when process conditions and process requirements are given. The machining parameters are optimized in this way.

Key words: neural network, error reflection, parameter optimizing, BP network

CLC Number: 

  • TP183
[1] 从爽.面向MATLAB工具箱的神经网络理论与应用[M].合肥:中国科技大学出版社,1998.
[2] 卢秉恒,于骏一,张福润.机械制造技术基础[M].北京:机械工业出版社,2001.
[3] 闻新,周露.MATLAB神经网络应用设计[M].北京:科学出版社,2000.
[4] 从爽.径向基函数网络的功能分析与应用的研究[J].计算机工程与应用,2002(3):85-87.
[5] 贾春玉,李艳文,王茜惠.基于模糊神经网络进行磨削加工尺寸精度智能控制的研究[J].燕山大学学报,2001,25(1):80-83.
[6] 刘延年,冯纯伯,乔新.多层前向BP网络函数逼近能力的研究[J].南京航空航天大学学报,1994,26(S1):191-195.
[1] XI Li-he,ZHANG Xin,SUN Chuan-yang,WANG Ze-xing,JIANG Tao. Adaptive energy management strategy for extended range electric vehicle [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1636-1644.
[2] JIANG Tao,LIN Xue-dong,LI De-gang,YANG Miao,TANG Xue-lin. Effect of control parameters on heat release rate with ANN method [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1747-1754.
[3] XU Yan,SUN Mei-shuang. Enhancing underwater image based on convolutional neural networks [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1895-1903.
[4] LI Xiong-fei, FENG Ting-ting, LUO Shi, ZHANG Xiao-li. Automatic music composition algorithm based on recurrent neural network [J]. 吉林大学学报(工学版), 2018, 48(3): 866-873.
[5] DI Xiao-qiang, WANG Ying-zheng, LI Jin-qing, CONG Li-gang, QI Hui. Video encryption method based on hyperchaos of quantum cellular neural networks [J]. 吉林大学学报(工学版), 2018, 48(3): 919-928.
[6] WANG Fang-shi, WANG Jian, LI Bing, WANG Bo. Deep attribute learning based traffic sign detection [J]. 吉林大学学报(工学版), 2018, 48(1): 319-329.
[7] LIU Dong-liang, WANG Qiu-shuang. Instantaneous velocity extraction method on NGSLM data [J]. 吉林大学学报(工学版), 2018, 48(1): 330-335.
[8] XIE Zhi-jiang, WU Xiao-yong, FAN Nai-ji, GUO Zong-huan, YUAN Yue-jun, WANG Kang. Kinematics analysis of a precision assembly platform of SG-III [J]. 吉林大学学报(工学版), 2017, 47(5): 1504-1511.
[9] MA Miao, LI Yi-bin. Multi-level image sequences and convolutional neural networks based human action recognition method [J]. 吉林大学学报(工学版), 2017, 47(4): 1244-1252.
[10] WANG De-jun, LYU Zhi-chao, WANG Qi-ming, ZHANG Xian-da, WANG Zi-jian. Engine misfire fault diagnosis based on cylinder pressure identification [J]. 吉林大学学报(工学版), 2017, 47(3): 917-923.
[11] HUANG Xuan, GUO Li-hong, LI Jiang, YU Yang. Target threat assessment based on BP neural network optimized by modified particle swarm optimization [J]. 吉林大学学报(工学版), 2017, 47(3): 996-1002.
[12] LI Lin-hui, LUN Zhi-mei, LIAN Jing, YUAN Lu-shan, ZHOU Ya-fu, MA Xiao-yi. Convolution neural network-based vehicle detection method [J]. 吉林大学学报(工学版), 2017, 47(2): 384-391.
[13] WANG Qing-nian, DUAN Ben-ming, WANG Peng-yu, GONG Yin-sheng, ZHU Qing-lin. Optimization of powertrain transmission parameters of plug-in hybrid electric vehicle [J]. 吉林大学学报(工学版), 2017, 47(1): 1-7.
[14] GUO Ying-shi, FU Rui, ZHAO Kai, MA Yong, YUAN Wei. Evaluation and test of real-time identification models of driver's lane change intention [J]. 吉林大学学报(工学版), 2016, 46(6): 1836-1844.
[15] SUN Da-xu, LAN Feng-chong, HE Xing-fu, CHEN Ji-qing. Self-adaptive composite ABS of dual-motor four-wheel drive electric vehicle [J]. 吉林大学学报(工学版), 2016, 46(5): 1405-1413.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!