A computation strategy based on neural network for stiffness determination of deep-groove ball bearings

Author： Kang Yuan Shen Ping-Chen Chen Cheng-Hsien Huang Chih-Ching Yang Lin-Kan

ISSN： 0036-8792

Source： Industrial Lubrication and Tribology, Vol.56, Iss.3, 2004-03, pp. : 147-157

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Angular contact ball bearings

World Pumps, Vol. 2003, Iss. 441, 2003-06 ,pp. : 8-8

Elsevier

Access to resources Recommend Favorite

A surrogate-based optimization method with RBF neural network enhanced by linear interpolation and hybrid infill strategy

By Yao W. Chen X.Q. Huang Y.Y. van Tooren M.

Optimization Methods and Software, Vol. 29, Iss. 2, 2014-03 ,pp. : 406-429

Taylor & Francis Ltd

Access to resources Recommend Favorite

Deep combination of fuzzy inference and neural network in fuzzy inference software -- FINEST

By Tano T. Oyama T. Arnould T.

Fuzzy Sets and Systems, Vol. 82, Iss. 2, 1996-09 ,pp. : 151-160

Elsevier

Access to resources Recommend Favorite

The analysis of the effects of surface roughness of shafts on journal bearings using recurrent hybrid neural network

By Sinanoğlu Cem

Industrial Lubrication and Tribology, Vol. 56, Iss. 6, 2004-06 ,pp. : 324-333

Emerald Group Publishing Ltd

Access to resources Recommend Favorite

Neural network analysis of leakage oil quantity in the design of partially hydrostatic slipper bearings

By Canbulut Fazıl Sinanoğlu Cem Yildirim Şahin

Industrial Lubrication and Tribology, Vol. 56, Iss. 4, 2004-04 ,pp. : 231-243

Emerald Group Publishing Ltd

Access to resources Recommend Favorite