Data-based adaptive computation technique
by Nishchal K. Verma, B.K. Panigrahi
International Journal of Information and Communication Technology (IJICT), Vol. 1, No. 1, 2007

Abstract: This paper presents a data-based fuzzy computational scheme for modelling the Earth's magnetic field using the framework of Adaptive Non-Additive Fuzzy System (ANAFS). The defuzzified output constructed from both the premise and consequent parts of the GFM rules takes the form of Choquet integral. Premise and Consequent parameters of fuzzy model are then updated for each online data based on the estimation error to make the adaptive system. The resulting model is validated on the real data, that is, magnetic field intensity obtained from the magnetometer and the training and prediction results are found to be better and can be used for modelling such a complex system whose mathematical or physical modelling is very difficult to obtain. Thus, this work makes an important contribution to the field of system modelling in real life.

Online publication date: Thu, 19-Apr-2007

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 Information and Communication Technology (IJICT):
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