Residual stress prediction using neural network approach

被引:0
|
作者
Menda, František [1 ]
More, Marcel [2 ]
Cardona-Cuervo, G.P. [3 ]
Martinez-Tabares, F.J. [3 ]
机构
[1] Technical University of Košice, Department of Applied Mechanics and Mechatronics, Letná 9, 04200 Košice, Slovakia
[2] Technical University of Košice, Department of Automation, Control and Human Machine interaction, Letná 9, 04200 Košice, Slovakia
[3] CELBIT LTDA, Via Aeropuerto, U. Nacional Bl.X105 Parque Innovacion, Colombia
关键词
Residual stresses;
D O I
10.4028/www.scientific.net/AMM.611.436
中图分类号
学科分类号
摘要
引用
收藏
页码:436 / 440
相关论文
共 50 条
  • [31] Developing a visual prediction program for residual stress in girth butt welds using GA-RBF neural network
    Jiao, Haihan
    Jin, Hui
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024, 131 (3-4): : 1615 - 1628
  • [32] Developing a visual prediction program for residual stress in girth butt welds using GA-RBF neural network
    Haihan Jiao
    Hui Jin
    The International Journal of Advanced Manufacturing Technology, 2024, 131 : 1615 - 1628
  • [33] Weekly Load Prediction Using Wavelet Neural Network Approach
    Gupta, Sangeeta
    Singh, Vijander
    Mittal, A. P.
    Rani, Asha
    2016 SECOND INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE & COMMUNICATION TECHNOLOGY (CICT), 2016, : 174 - 179
  • [34] An indentation method for measuring welding residual stress: Estimation of stress-free indentation curve using BP neural network prediction model
    Peng, Wei
    Jiang, Wenchun
    Yang, Bin
    Sun, Guanghua
    Shao, Xiaoming
    INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING, 2023, 206
  • [35] Medical image denoising using convolutional neural network: a residual learning approach
    Jifara, Worku
    Jiang, Feng
    Rho, Seungmin
    Cheng, Maowei
    Liu, Shaohui
    JOURNAL OF SUPERCOMPUTING, 2019, 75 (02): : 704 - 718
  • [36] Prediction about residual stress and microhardness of material subjected to multiple overlap laser shock processing using artificial neural network
    Wu Jia-jun
    Huang Zheng
    Qiao Hong-chao
    Wei Bo-xin
    Zhao Yong-jie
    Li Jing-feng
    Zhao Ji-bin
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2022, 29 (10) : 3346 - 3360
  • [37] Power System Inertia Estimation Using A Residual Neural Network Based Approach
    Ramirez-Gonzalez, M.
    Sevilla, F. R. Segundo
    Korba, P.
    2022 IEEE 4TH GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE (IEEE GPECOM2022), 2022, : 355 - 360
  • [38] Medical image denoising using convolutional neural network: a residual learning approach
    Worku Jifara
    Feng Jiang
    Seungmin Rho
    Maowei Cheng
    Shaohui Liu
    The Journal of Supercomputing, 2019, 75 : 704 - 718
  • [39] PREDICTION OF PIPE GIRTH WELD RESIDUAL STRESS PROFILES USING ARTIFICIAL NEURAL NETWORKS
    Mathew, Jino
    Moat, Richard J.
    Bouchard, P. John
    PROCEEDINGS OF THE ASME PRESSURE VESSELS AND PIPING CONFERENCE - 2013, VOL 6B: MATERIALS AND FABRICATION, 2014,
  • [40] Long Term Traffic Flow Prediction Using Residual Net and Deconvolutional Neural Network
    Zang, Di
    Fang, Yang
    Wang, Dehai
    Wei, Zhihua
    Tang, Keshuang
    Li, Xin
    PATTERN RECOGNITION AND COMPUTER VISION, PT II, 2018, 11257 : 62 - 74