A Hybrid SVR Model Based on Support Vector Regression and Differential Evolution for Milling Force Prediction of Titanium Alloy

被引:0
|
作者
Zhang, Xiao-Xia [1 ]
Hu, Yin-Yin [1 ]
Yang, Jiao [1 ]
机构
[1] School of Computer Science and Software Engineering, University of Science and Technology LiaoNing, Anshan,114051, China
关键词
D O I
10.53106/199115992021103205002
中图分类号
学科分类号
摘要
引用
收藏
页码:15 / 30
相关论文
共 50 条
  • [1] Milling Force Prediction of Titanium Alloy Based on Support Vector Machine and Ant Colony Optimization
    Zhang, Xiaoxia
    Yu, Ziqiao
    Hu, Yinyin
    Yang, Jiao
    IAENG International Journal of Computer Science, 2021, 48 (02) : 1 - 12
  • [2] Disaster prediction model based on support vector machine for regression and improved differential evolution
    Xiaobing Yu
    Natural Hazards, 2017, 85 : 959 - 976
  • [3] Disaster prediction model based on support vector machine for regression and improved differential evolution
    Yu, Xiaobing
    NATURAL HAZARDS, 2017, 85 (02) : 959 - 976
  • [4] Vessel Trajectory Prediction Model Based on AIS Sensor Data and Adaptive Chaos Differential Evolution Support Vector Regression (ACDE-SVR)
    Liu, Jiao
    Shi, Guoyou
    Zhu, Kaige
    APPLIED SCIENCES-BASEL, 2019, 9 (15):
  • [5] FORCE PREDICTION IN MILLING OF TITANIUM ALLOY
    Matsumura, Takashi
    Tamura, Shouichi
    PROCEEDINGS OF THE ASME/ISCIE INTERNATIONAL SYMPOSIUM ON FLEXIBLE AUTOMATION, ISFA 2012, 2013, : 525 - 531
  • [6] Influence of Support Vector Regression (SVR) on Cryogenic Face Milling
    Karthik, Rao M. C.
    Malghan, Rashmi L.
    Kara, Fuat
    Shettigar, Arunkumar
    Rao, Shrikantha S.
    Herbert, Mervin A.
    ADVANCES IN MATERIALS SCIENCE AND ENGINEERING, 2021, 2021
  • [7] A hybrid model based on support vector regression and differential evolution for remaining useful lifetime prediction of lithium-ion batteries
    Wang, Fu-Kwun
    Mamo, Tadele
    JOURNAL OF POWER SOURCES, 2018, 401 : 49 - 54
  • [8] Battery Life Prediction Based on a Hybrid Support Vector Regression Model
    Chen, Yuan
    Duan, Wenxian
    Ding, Zhenhuan
    Li, Yingli
    FRONTIERS IN ENERGY RESEARCH, 2022, 10
  • [9] Drilling Cost Prediction Based on Self-adaptive Differential Evolution and Support Vector Regression
    Pan, Huaxian
    Cheng, Guojian
    Ding, Jian
    INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2013, 2013, 8206 : 67 - 75
  • [10] An annual load forecasting model based on support vector regression with differential evolution algorithm
    Wang, Jianjun
    Li, Li
    Niu, Dongxiao
    Tan, Zhongfu
    APPLIED ENERGY, 2012, 94 : 65 - 70