Artificial neural network modeling for the prediction of critical transformation temperatures in steels

Author： Garcia-Mateo Carlos   Capdevila Carlos   Caballero Francisca   Andrés Carlos  

Publisher： Springer Publishing Company

ISSN： 0022-2461

Source： Journal of Materials Science, Vol.42, Iss.14, 2007-07, pp. : 5391-5397

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

Artificial Neural Network Modeling of ECAP Process

By Djavanroodi F.  

Materials and Manufacturing Processes, Vol. 28, Iss. 3, 2013-03 ,pp. : 276-281

Taylor & Francis Ltd

Access to resources Recommend Favorite

Artificial Neural Network: Some Applications in Physical Metallurgy of Steels

By Mukherjee Monideepa  

Materials and Manufacturing Processes, Vol. 24, Iss. 2, 2009-02 ,pp. : 198-208

Taylor & Francis Ltd

Access to resources Recommend Favorite

Simulating Time Temperature Transformation Diagram of Steel Using Artificial Neural Network

By Kundu M.  

Materials and Manufacturing Processes, Vol. 24, Iss. 2, 2009-02 ,pp. : 169-173

Taylor & Francis Ltd

Access to resources Recommend Favorite

Prediction of GMA Welding Characteristic Parameter by Artificial Neural Network System

By  

Advanced Materials Research, Vol. 2014, Iss. 1061, 2015-01 ,pp. : 481-491

Trans Tech Publications

Access to resources Recommend Favorite

Modelling the correlation between processing parameters and properties of maraging steels using artificial neural network

By Guo Z.   Sha W.  

Computational Materials Science, Vol. 29, Iss. 1, 2004-01 ,pp. : 12-28

Elsevier

Access to resources Recommend Favorite