Title: Data-based adaptive computation technique

Authors: Nishchal K. Verma, B.K. Panigrahi

Addresses: Indian Institute of Technology, New Delhi, Delhi 110016, India. ' Department of Electrical Engineering, IIT, New Delhi 110016, India

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.

Keywords: magnetosphere; magnetic storms; fuzzy systems; adaptive computation; fuzzy logic; earth|s magnetic field; systems modelling; magnetic field intensity; ICT.

DOI: 10.1504/IJICT.2007.013280

International Journal of Information and Communication Technology, 2007 Vol.1 No.1, pp.98 - 111

Available online: 19 Apr 2007 *

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