An advanced coevolution scheme for optimisation of artificial neural network
by Dan Zhang; Zhen Gao
International Journal of Mechanisms and Robotic Systems (IJMRS), Vol. 1, No. 4, 2013

Abstract: In this research, the optimisation method of artificial neural network based on cooperative coevolution algorithm is proposed aiming at conquering the defects of general genetic algorithm. The division of population, encoding method of neural network, algorithm procedures and algorithm comparison are proposed. The credibility and the validity of the proposed algorithm are verified through various simulations. The results show that the optimisation of neural network based on cooperative coevolution algorithm has the distinct advantage upon the general genetic algorithm.

Online publication date: Sat, 12-Jul-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Mechanisms and Robotic Systems (IJMRS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com