Assessment of the Shock-Absorption Performance of a High Capacity Suspension System by Neural Networks

Publisher： Cambridge University Press

E-ISSN： 1811-8216|30|1|39-48

ISSN： 1727-7191

Source： Journal of Mechanics, Vol.30, Iss.1, 2013-11, pp. : 39-48

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

High-Speed impact experiment for evaluation of magnetorheological fluid’s shock-absorption performance

By  

EPJ Web of Conference, Vol. 183, Iss. issue, 2018-09 ,pp. : 04008-04008

Edp Sciences

Access to resources Recommend Favorite

Prediction of compression strength of high performance concrete using artificial neural networks

By  

Journal of Physics: Conference Series , Vol. 582, Iss. 1, 2015-01 ,pp. : 57-62

IOP Publishing

Access to resources Recommend Favorite

Memory capacity of neural networks learning within bounds

By  

Journal de Physique, Vol. 48, Iss. 12, 1987-12 ,pp. : 2053-2058

Edp Sciences

Access to resources Recommend Favorite

The assessment of vibration absorption capacity of elevator's passengers

By  

Journal of Physics: Conference Series , Vol. 181, Iss. 1, 2009-08 ,pp. : 667-674

IOP Publishing

Access to resources Recommend Favorite

Assessment of Surface Soil Moisture Using High-Resolution Multi-Spectral Imagery and Artificial Neural Networks

By Hassan-Esfahani Leila   Torres-Rua Alfonso   Jensen Austin   McKee Mac  

Remote Sensing, Vol. 7, Iss. 3, 2015-03 ,pp. : 2627-2646

MDPI

Access to resources Recommend Favorite