Abstract:
In this paper a fuzzy logic approach to determine the relevance of each module in modular neural networks for images recognition is presented. The tests were made with Ty...Show MoreMetadata
Abstract:
In this paper a fuzzy logic approach to determine the relevance of each module in modular neural networks for images recognition is presented. The tests were made with Type-1 and Interval Type-2 Fuzzy Inference Systems, to compare the performance of the proposed approach. In both cases the fusion operator for the modules is the Sugeno Integral, and the estimated parameters are the fuzzy densities.
Published in: 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)
Date of Conference: 01-08 June 2008
Date Added to IEEE Xplore: 26 September 2008
ISBN Information:
Contents 