A variable structure fuzzy neural network model of squamous dysplasia and esophageal squamous cell carcinoma based on a global chaotic optimization algorithm

DOI10.1016/J.JTBI.2012.11.013zbMath1406.92317OpenAlexW2062003149WikidataQ48350357 ScholiaQ48350357MaRDI QIDQ1715114

Mohammad Reza Hashemi Golpayegani, Reza Malekzadeh, Motahareh Moghtadaei

Publication date: 4 February 2019

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2012.11.013

zbMATH Keywords

classificationcancerearly detectionrisk factorsesophagus

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Fuzzy control/observation systems (93C42) Medical applications (general) (92C50)

Cites Work

• Unnamed Item
• Structure identification of fuzzy model
• Dynamic reconstruction-based fuzzy neural network method for fault detection in chaotic system
• Fuzzy identification of systems and its applications to modeling and control

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