Combining dynamic neural networks and image sequences in a dynamic model for complex industrial production processes

Publisher： Elsevier

ISSN： 0957-4174

Source： Expert Systems with Applications, Vol.16, Iss.1, 1999-01, pp. : 13-19

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

Static mental representations in recurrent neural networks for the control of dynamic behavioural sequences

By Kühn Simone Cruse Holk

Connection Science, Vol. 17, Iss. 3-4, 2005-09 ,pp. : 343-360

Taylor & Francis Ltd

Access to resources Recommend Favorite

Research on structure dynamic neural networks

By Han Hong-gui Qiao Jun-fei Li Xin-yuan

International Journal of Modelling, Identification and Control, Vol. 9, Iss. 1-2, 2010-04 ,pp. : 152-160

Inderscience Publishers

Access to resources Recommend Favorite

Adaptive dynamic input-output analysis using neural networks: Japanese industrial structure

By Ito Yukio

Kybernetes: The International Journal of Systems & Cybernetics, Vol. 29, Iss. 9-10, 2000-12 ,pp. : 1087-1102

Emerald Group Publishing Ltd

Access to resources Recommend Favorite

Modelling dynamic bottlenecks in production networks

By Scholz-Reiter Bernd

International Journal of Computer Integrated Manufacturing, Vol. 24, Iss. 5, 2011-05 ,pp. : 391-404

Taylor & Francis Ltd

Access to resources Recommend Favorite

Static and Dynamic Preprocessing Methods in Neural Networks

By Ah C.T. Back A.

Engineering Applications of Artificial Intelligence, Vol. 8, Iss. 6, 1995-12 ,pp. : 633-642

Elsevier

Access to resources Recommend Favorite