Additive Fuzzy Systems as Generalized Probability Mixture Models

DOI10.1007/978-3-319-19683-1_14zbMath1359.68253OpenAlexW798585325MaRDI QIDQ2971589

Bart Kosko

Publication date: 7 April 2017

Published in: Fifty Years of Fuzzy Logic and its Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-19683-1_14

zbMATH Keywords

importance samplingMonte Carlo simulationconditional expectationsfunction approximationE-M algorithmcompoundingadditive fuzzy systemconvex sumsmixture density modelscontinuum-many fuzzy rulesfuzzy approximation theoremlearning laws

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Cites Work

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• Triply fuzzy function approximation for hierarchical Bayesian inference
• Noise-enhanced convolutional neural networks
• Structural stability of unsupervised learning in feedback neural networks
• Fuzzy systems as universal approximators

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