Predicting the impact of traffic–induced vibrations on buildings using artificial neural networks

E-ISSN： 2261-236x|219|issue|04004-04004

ISSN： 2261-236x

Source： MATEC Web of conference, Vol.219, Iss.issue, 2018-10, pp. : 04004-04004

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

Study of the influence of the technological parameters on the weld quality using artificial neural networks

MATEC Web of conference, Vol. 178, Iss. issue, 2018-07 ,pp. : 03011-03011

Edp Sciences

Access to resources Recommend Favorite

Prediction of thermal field dynamics of mould in casting using artificial neural networks

MATEC Web of conference, Vol. 178, Iss. issue, 2018-07 ,pp. : 06012-06012

Edp Sciences

Access to resources Recommend Favorite

Crack Width Estimation Using Feed and Cascade Forward Back Propagation Artificial Neural Networks

Key Engineering Materials, Vol. 2018, Iss. 786, 2018-11 ,pp. : 293-301

Trans Tech Publications

Access to resources Recommend Favorite

Identification Of Number Using Artificial Neural Network Backpropagation

MATEC Web of conference, Vol. 215, Iss. issue, 2018-10 ,pp. : 01011-01011

Edp Sciences

Access to resources Recommend Favorite

Predicting the travel time of arterial traffic using particle filter with speed matrix

By Yang Qiangrong

MATEC Web of conference, Vol. 189, Iss. issue, 2018-08 ,pp. : 10004-10004

Edp Sciences

Access to resources Recommend Favorite