Robust support vector machine-trained fuzzy system

DOI10.1016/j.neunet.2013.11.013zbMath1298.68266OpenAlexW2074965739WikidataQ47195598 ScholiaQ47195598MaRDI QIDQ470193

Hadi Sadoghi Yazdi, Yahya Forghani

Publication date: 12 November 2014

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2013.11.013

zbMATH Keywords

classificationfuzzy systemrobust SVMrule

Mathematics Subject Classification ID

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

Related Items (2)

A new robust model of one-class classification by interval-valued training data using the triangular kernel ⋮ Binary classification SVM-based algorithms with interval-valued training data using triangular and Epanechnikov kernels

Uses Software

• UCI-ml

Cites Work

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• An incremental support vector machine-trained TS-type fuzzy system for online classification problems
• Self-organization and associative memory
• Linear disriminant analysis for interval data
• Clustering: a neural network approach
• Classification by pairwise coupling
• Support-vector networks
• Introduction to Interval Analysis

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