By Topic

A Knowledge Based System Design for the Prediction of Supernova Effects in the Interstellar Environment

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Mendez-Gurrola, I.I. ; Maestria en Cienc. de la Comput., Univ. Autonoma Metropolitana, Mexico City ; Laureano-Cruces, A.L. ; Santillan-Gonzalez, A.J. ; Ramirez-Rodriguez, J.

In our work, the design of the elementary components of a knowledge based system for the prediction of supernova effects is described. The domain is related with the modeling of the two supernova effects using fuzzy cognitive maps as knowledge representation and the maps feedback as inference engine to make the prediction. This work also describes the characteristics of (1) the application dominion and its representation, and (2) the results of the model through experimental tests and interpretations which represent the inference process.

Published in:

Artificial Intelligence - Special Session, 2007. MICAI 2007. Sixth Mexican International Conference on

Date of Conference:

4-10 Nov. 2007