Optimization of Neuro-Fuzzy System Using Genetic Algorithm for Chromosome Classification

Optimization of Neuro-Fuzzy System Using Genetic Algorithm for Chromosome Classification

Neuro-fuzzy system has been shown to provide a good performance on chromosome classification but does not offer a simple method to obtain the accurate parameter values required to yield the best recognition rate. This paper presents a neuro-fuzzy system where its parameters can be automatically adju...

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Bibliographic Details
Main Authors: M. Sarosa, A. S. Ahmad, B. Riyanto, A. S. Noer
Format: Article
Language:English
Published: ITB Journal Publisher 2013-09-01
Series:Journal of ICT Research and Applications
Online Access:https://journals.itb.ac.id/index.php/jictra/article/view/166

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