On-line incremental feature weighting in evolving fuzzy classifiers
From MaRDI portal
Publication:622090
DOI10.1016/J.FSS.2010.08.012zbMath1211.68327OpenAlexW2092911486MaRDI QIDQ622090
Publication date: 31 January 2011
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.fss.2010.08.012
separability criteriadynamic dimension reductionevolving fuzzy classifiersFLEXFIS-classincremental feature weightingon-line classificationsingle and multi-model architecture
Related Items (3)
EFNN-NullUni: an evolving fuzzy neural network based on null-uninorm ⋮ Robust Data-Driven Fault Detection in Dynamic Process Environments Using Discrete Event Systems ⋮ Improving the robustness of recursive consequent parameters learning in evolving neuro-fuzzy systems
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Evolving fuzzy classifiers using different model architectures
- Weighted fuzzy pattern matching
- Improved feature selection and classification by the 2-additive fuzzy measure
- Progress in artificial intelligence. 8th Portuguese conference, EPIA '97, Coimbra, Portugal, October 6--9, 1997. Proceedings
- Triangular norms
- Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems
- Incremental learning in fuzzy pattern matching
- On incremental and robust subspace learning
- Extensions of vector quantization for incremental clustering
- Fuzzy identification of systems and its applications to modeling and control
- Incremental feature weight learning and its application to a shape-based query system
- 10.1162/153244303322753616
- The elements of statistical learning. Data mining, inference, and prediction
- Fuzzy classifier design
This page was built for publication: On-line incremental feature weighting in evolving fuzzy classifiers
