Trade-off between accuracy and interpretability: experience-oriented fuzzy modeling via reduced-set vectors

DOI10.1016/j.camwa.2008.10.040zbMath1186.68483OpenAlexW2032283968MaRDI QIDQ971561

Jian Xiao, Long Yu

Publication date: 16 May 2010

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

Full work available at URL: https://doi.org/10.1016/j.camwa.2008.10.040

zbMATH Keywords

accuracykernelfuzzy modelinginterpretabilityreduced-set vectors

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Machine vision and scene understanding (68T45)

Uses Software

• ANFIS

Cites Work

• Unnamed Item
• Practical selection of SVM parameters and noise estimation for SVM regression
• Experimentally optimal \(\nu\) in support vector regression for different noise models and parameter settings
• Support vector fuzzy adaptive network in regression analysis
• On support vector regression machines with linguistic interpretation of the kernel matrix

This page was built for publication: Trade-off between accuracy and interpretability: experience-oriented fuzzy modeling via reduced-set vectors