Combining neuro-fuzzy classifiers for improved generalisation and reliability

Proceedings of the International Joint Conference on Neural Networks

Volumn 3, Issue , 2002, Pages 2410-2415

  Gabrys, Bogdan ^a  

^a UNIVERSITY OF THE WEST OF SCOTLAND   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; DECISION THEORY; FUZZY SETS; LEARNING ALGORITHMS;

GENERAL FUZZY MIN-MAX CLASSIFIER; NEURO-FUZZY CLASSIFIERS;

NEURAL NETWORKS;

EID: 0036080019     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Bagging predictors
2. Machine learning research: Four current directions
3. An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
4. Neuro-fuzzy approach to processing inputs with missing values in pattern recognition problems
5. Data editing for neuro-fuzzy classifiers
6. Agglomerative learning algorithms for general fuzzy min-max neural network
7. Neural networks based decision support in presence of uncertainties
8. General fuzzy min-max neural network for clustering and classification
9. An overview of classifier fusion methods