A comparison of several neural networks to predict the execution times in injection molding production for automotive industry

Author： Fernández-Delgado M.   Reboreda M.   Cernadas E.   Barro S.  

Publisher： Springer Publishing Company

ISSN： 0941-0643

Source： Neural Computing & Applications, Vol.19, Iss.5, 2010-07, pp. : 741-754

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

Control of properties in injection molding by neural networks

By Kenig S.   Ben-David A.   Omer M.   Sadeh A.  

Engineering Applications of Artificial Intelligence, Vol. 14, Iss. 6, 2001-12 ,pp. : 819-823

Elsevier

Access to resources Recommend Favorite

Using artificial neural networks to forecast operation times in metal industry

By    

International Journal of Computer Integrated Manufacturing, Vol. 27, Iss. 1, 2014-01 ,pp. : 48-59

Taylor & Francis Ltd

Access to resources Recommend Favorite

Automotive industry looks for lean production

By Kochan Anna  

Assembly Automation, Vol. 18, Iss. 2, 1998-02 ,pp. : 132-137

Emerald Group Publishing Ltd

Access to resources Recommend Favorite

Neural-fuzzy modeling of plastic injection molding machine for intelligent control

By Lau H.C.W.   Wong T.T.   Pun K.F.  

Expert Systems with Applications, Vol. 17, Iss. 1, 1999-07 ,pp. : 33-43

Elsevier

Access to resources Recommend Favorite

The exploitation of neural networks in automotive engine management systems

By Shayler P.J.   Goodman M.   Ma T.  

Engineering Applications of Artificial Intelligence, Vol. 13, Iss. 2, 2000-04 ,pp. : 147-157

Elsevier

Access to resources Recommend Favorite