Utilising improved cellular automata to simulate and analyse image evolution and optimisation
by Wenyong Dong; Xueshi Dong
International Journal of Computing Science and Mathematics (IJCSM), Vol. 6, No. 2, 2015

Abstract: This paper introduces the cellular automata, current research of the field and so on, comprehensively uses principal component analysis, decision tree and neural network methods to improve cellular automata model and makes simulation and analysis of the spatial evolution of experiment image by using the improved models, then from optimisation strategy and other aspects it gives some improvement discussion and optimisation methods.

Online publication date: Sun, 17-May-2015

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 Computing Science and Mathematics (IJCSM):
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