An adaptive fuzzy min-max neural network classifier based on principle component analysis and adaptive genetic algorithm

DOI10.1155/2012/483535zbMath1264.93130OpenAlexW2133973873WikidataQ58911781 ScholiaQ58911781MaRDI QIDQ1954828

Dazhong Ma, Jinhai Liu, Zhibo Yu

Publication date: 11 June 2013

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/483535

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42)

Uses Software

• UCI-ml

Cites Work

• Guaranteed cost control for uncertain stochastic fuzzy systems with time delay
• Delay-dependent robust and reliable \(H_\infty\) fuzzy hyperbolic decentralized control for uncertain nonlinear interconnected systems
• Scale-based approach to hierarchical fuzzy clustering.
• Fuzzy min-max neural networks: from classification to regression
• Fuzzy sets
• Unnamed Item
• Unnamed Item

This page was built for publication: An adaptive fuzzy min-max neural network classifier based on principle component analysis and adaptive genetic algorithm