학술논문
The Meaningful Fractal Fuzzy Dimension applied to the design of self organizing maps
Document Type
Conference
Author
Source
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence) Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on. :1285-1291 Jun, 2008
Subject
Language
ISSN
2161-4393
2161-4407
2161-4407
Abstract
This paper presents the principal results of a detailed study about the use of the Meaningful Fractal Fuzzy Dimension measure in the problem in determining adequately the topological dimension of output space of a Self-Organizing Map. This fractal measure is conceived by combining the Fractals Theory and Fuzzy Approximate Reasoning. In this work this measure was applied on the dataset in order to obtain a priori knowledge, which is used to support the decision making about the SOM output space design. Several maps were designed with this approach and their evaluations are discussed here.