A transiently chaotic neural network approach to the design of cellular manufacturing

Author： Soleymanpour M.   Vrat P.   Shankar R.  

Publisher： Taylor & Francis Ltd

ISSN： 0020-7543

Source： International Journal of Production Research, Vol.40, Iss.10, 2002-07, pp. : 2225-2244

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

Graph-neural network approach in cellular manufacturing on the basis of a binary system

By Mahdavi I.   Kaushal O. P.   Chandra M.  

International Journal of Production Research, Vol. 39, Iss. 13, 2001-09 ,pp. : 2913-2922

Taylor & Francis Ltd

Access to resources Recommend Favorite

A self-organized neural network metamodelling and clonal selection optimization-based approach for the design of a manufacturing system

By Anand R. B.  

International Journal of Production Research, Vol. 44, Iss. 6, 2006-03 ,pp. : 1147-1170

Taylor & Francis Ltd

Access to resources Recommend Favorite

Design of manufacturing systems by a hybrid approach with neural network metamodelling and stochastic local search

By Chen M-C.   Yang T.  

International Journal of Production Research, Vol. 40, Iss. 1, 2002-01 ,pp. : 71-92

Taylor & Francis Ltd

Access to resources Recommend Favorite

Cellular manufacturing system design using a holonistic approach

By Akturk M.S.   Turkcan A.  

International Journal of Production Research, Vol. 38, Iss. 10, 2000-07 ,pp. : 2327-2347

Taylor & Francis Ltd

Access to resources Recommend Favorite

A pragmatic approach to machine and part grouping in cellular manufacturing system design

By Cantamessa M.   Turroni A.  

International Journal of Production Research, Vol. 35, Iss. 4, 1997-04 ,pp. : 1031-1050

Taylor & Francis Ltd

Access to resources Recommend Favorite