A novel Artificial Neural Network training method combined with Quantum Computational Multi-Agent System theory

Author： Meng Xiangping   Wang Jianzhong   Pi Yuzhen   Yuan Quande  

Publisher： Inderscience Publishers

ISSN： 1740-8865

Source： International Journal of Intelligent Systems Technologies and Applications, Vol.6, Iss.1-2, 2009-01, pp. : 50-60

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

A multi-agent based user context Bayesian neural network analysis system

By Yoon Hyogun  

Artificial Intelligence Review, Vol. 34, Iss. 3, 2010-10 ,pp. : 261-270

Springer Publishing Company

Access to resources Recommend Favorite

Computational efficiencies for multi-agents: a look at a multi-agent system for sailor assignment

By Liebowitz Jay   Simien James  

Electronic Government, an International Journal, Vol. 2, Iss. 4, 2005-12 ,pp. : 384-402

Inderscience Publishers

Access to resources Recommend Favorite

A novel trust measurement method based on certified belief in strength for a multi-agent classifier system

By Mohammed Mohammed   Lim Chee   Quteishat Anas  

Neural Computing & Applications, Vol. 24, Iss. 2, 2014-02 ,pp. : 421-429

Springer Publishing Company

Access to resources Recommend Favorite

Multi-agent network for cooperative work

By Lemaitre C.   Excelente C.B.  

Expert Systems with Applications, Vol. 14, Iss. 1, 1998-01 ,pp. : 117-127

Elsevier

Access to resources Recommend Favorite

A survey of artificial neural network training tools

By Baptista Darío   Morgado-Dias Fernando  

Neural Computing & Applications, Vol. 23, Iss. 3-4, 2013-09 ,pp. : 609-615

Springer Publishing Company

Access to resources Recommend Favorite