Investigating Injury Occurrence in Motor Vehicle Collision Using Artificial Neural Networks

E-ISSN： 1520-6564|25|3|294-303

ISSN： 1090-8471

Source： HUMAN FACTORS AND ERGONOMICS IN MANUFACTURING & SERVICE INDUSTRIES, Vol.25, Iss.3, 2015-05, pp. : 294-303

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

Using artificial neural networks for process and system modelling

By Verikas A. Bacauskiene M.

Chemometrics and Intelligent Laboratory Systems, Vol. 67, Iss. 2, 2003-08 ,pp. : 187-191

Elsevier

Access to resources Recommend Favorite

Land-use classification of multispectral aerial images using artificial neural networks

By Ashish D. McClendon R. W. Hoogenboom G.

International Journal of Remote Sensing, Vol. 30, Iss. 8, 2009-04 ,pp. : 1989-2004

Taylor & Francis Ltd

Access to resources Recommend Favorite

Achieving downscaling of Meteosat thermal infrared imagery using artificial neural networks

International Journal of Remote Sensing, Vol. 34, Iss. 21, 2013-11 ,pp. : 7706-7722

Taylor & Francis Ltd

Access to resources Recommend Favorite

Prediction on tribological properties of short fibre composites using artificial neural networks

By Zhang Z. Friedrich K. Velten K.

Wear, Vol. 252, Iss. 7, 2002-04 ,pp. : 668-675

Elsevier

Access to resources Recommend Favorite

Characterization of pitting corrosion of stainless steel using artificial neural networks

MATERIALS AND CORROSION/WERKSTOFFE UND KORROSION, Vol. 947-5117, Iss. 10, 2015-10 ,pp. : 1084-1091

John Wiley & Sons Inc

Access to resources Recommend Favorite