Analysis of shafts surface pressures using neural networks

被引：0
|
作者：
Kurban, Ali Osman [1 ]
机构：
[1] Tribology Research Laboratory, Department of Mechanical Engineering, Erciyes University, Kayseri, Turkey
来源：
Ind Lubr Tribol | 1600年 / 4卷 / 217-225期
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Activation analysis - Bearing capacity - Computer simulation - Deformation - Gaussian noise (electronic) - Hydrodynamics - Light velocity - Lubrication - Mathematical models - Personnel training - Pressure distribution - Radial basis function networks - Surface roughness - Surface tension - Well pressure
引用
收藏
相关论文
共 50 条
  • [1] Analysis of shafts surface pressures using neural networks
    Kurban, AO
    INDUSTRIAL LUBRICATION AND TRIBOLOGY, 2004, 56 (04) : 217 - 225
  • [2] Predicting vapor pressures using neural networks
    Potukuchi, S
    Wexler, AS
    ATMOSPHERIC ENVIRONMENT, 1997, 31 (05) : 741 - 753
  • [3] The analysis of the effects of surface roughness of shafts on journal bearings using recurrent hybrid neural network
    Sinanoglu, C
    INDUSTRIAL LUBRICATION AND TRIBOLOGY, 2004, 56 (06) : 324 - 333
  • [4] Predicting porewater pressures in slopes using artificial neural networks
    Luk, S
    PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON COMPUTING IN CIVIL AND BUILDING ENGINEERING, VOLS 1-4, 1997, : 1931 - 1936
  • [5] A study of surface roughness in drilling using mathematical analysis and neural networks
    Sanjay, C.
    Jyothi, C.
    International Journal of Advanced Manufacturing Technology, 2006, 29 (9-10): : 846 - 852
  • [6] A study of surface roughness in drilling using mathematical analysis and neural networks
    Sanjay, C.
    Jyothi, C.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2006, 29 (9-10): : 846 - 852
  • [7] A study of surface roughness in drilling using mathematical analysis and neural networks
    C. Sanjay
    C. Jyothi
    The International Journal of Advanced Manufacturing Technology, 2006, 29 : 846 - 852
  • [8] A study of surface roughness in drilling using mathematical analysis and neural networks
    C. Sanjay
    C. Jyothi
    C. W. Chin
    The International Journal of Advanced Manufacturing Technology, 2006, 30 : 906 - 906
  • [9] Crack identification in short shafts using wavelet-based element and neural networks
    Xiang, Jiawei
    Chen, Xuefeng
    Yang, Lianfa
    STRUCTURAL ENGINEERING AND MECHANICS, 2009, 33 (05) : 543 - 560
  • [10] Artificial neural networks for predicting dorsal pressures on the foot surface while walking
    Ruperez, M. J.
    Martin-Guerrero, J. D.
    Monserrat, C.
    Alcaniz, M.
    EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (05) : 5349 - 5357
12345