Using OGA in fuzzy based system modeling ... Abstract: High performance of fuzzy systems for modeling depends strongly on some parameters such as number of fuzzy ...
This paper presents two techniques using a modified genetic algorithm and Marquardt BP based learning algorithm to improve fuzzy system models by systematically ...
functions, using a combination of a back-propagation algorithm and a least squares method. This allows the fuzzy system to learn from the input/output data set,.
Abstract ; 2. Literature survey. LoubnaDali et al. [1] · concentrated on the application IDS, ; the Intrusion Detection Systems accessible to adapt up to the issue ...
Using OGA in fuzzy based system modeling. February 2000. Navid ... The main theories applied in fuzzy modeling are fuzzy logic and the fuzzy set theory.
We propose a novel approach for building a type-2 neural-fuzzy system from a given set of input-output training data. A self-constructing fuzzy clustering ...
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This study aims to describe how the obstacle avoidance system on mobile robots works. This system is designed automatically using fuzzy logic control (FLC) ...
Analyze the control surface and rule inference of a fuzzy system using the Fuzzy Logic Designer app.
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In this study it was proposed a fuzzy linguistic model to evaluate the risk of neonatal death based on birth weight and gestational age. In the fuzzy approach, ...