Artificial neural network to predict the effects of coating parameters on layer thickness of chromium carbonitride coating on pre-nitrided steels

Author： Khalaj Gholamreza  

Publisher： Springer Publishing Company

ISSN： 0941-0643

Source： Neural Computing & Applications, Vol.23, Iss.3-4, 2013-09, pp. : 779-786

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

Related content

Artificial neural network to predict the effect of heat treatments on Vickers microhardness of low-carbon Nb microalloyed steels

By Khalaj Gholamreza  

Neural Computing & Applications, Vol. 22, Iss. 5, 2013-04 ,pp. : 879-888

Springer Publishing Company

Access to resources Recommend Favorite

Hybrid artificial neural network

By Nedjah Nadia   Abraham Ajith   Mourelle Luiza  

Neural Computing & Applications, Vol. 16, Iss. 3, 2007-05 ,pp. : 207-208

Springer Publishing Company

Access to resources Recommend Favorite

ANN model to predict the effects of composition and heat treatment parameters on transformation start temperature of microalloyed steels

By Khalaj Gholamreza   Nazari Ali   Yoozbashizadeh Hossein   Khodabandeh Alireza   Jahazi Mohammad  

Neural Computing & Applications, Vol. 24, Iss. 2, 2014-02 ,pp. : 301-308

Springer Publishing Company

Access to resources Recommend Favorite

Low Dimensional Data Privacy Preservation Using Multi Layer Artificial Neural Network

By  

International Journal of Intelligent Information Technologies (IJIIT), Vol. 8, Iss. 3, 2012-07 ,pp. : 17-31

IGI Global_journal

Access to resources Recommend Favorite

Synthesis of one artificial neural network

By Masnikosa Vukasin P  

Kybernetes: The International Journal of Systems & Cybernetics, Vol. 25, Iss. 2, 1996-02 ,pp. : 52-60

Emerald Group Publishing Ltd

Access to resources Recommend Favorite