Support vector fuzzy adaptive network in regression analysis

DOI10.1016/j.camwa.2007.03.006zbMath1133.62353OpenAlexW2039469957MaRDI QIDQ2477356

Yu-Ru Syau, Judong Shen, Lee, E. Stanley

Publication date: 13 March 2008

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2007.03.006

zbMATH Keywords

fuzzy logicfuzzy adaptive networkneural networksupport vector machinesstatistical learning theory

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural nets and related approaches to inference from stochastic processes (62M45)

Related Items (2)

Balanced bootstrap resampling method for neural model selection ⋮ Trade-off between accuracy and interpretability: experience-oriented fuzzy modeling via reduced-set vectors

Cites Work

• Fuzzy data analysis by possibilistic linear models
• Support vector fuzzy regression machines
• Support-vector networks
• Applying fuzzy adaptive network to fuzzy regression analysis
• Fuzzy identification of systems and its applications to modeling and control
• Structure selection of neurofuzzy networks based on support vector regression
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