Ensembles of EFuNNs: An architecture for a multimodule classifier

IEEE International Conference on Fuzzy Systems

Volumn 3, Issue , 2001, Pages 1573-1576

  Woodford, Brendon J ^a   Kasabov, Nikola K ^a  

^a UNIVERSITY OF OTAGO   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

EVOLVING CLUSTERING METHOD; MULTIMODE CLASSIFIER;

COMPUTER ARCHITECTURE; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS; PROBLEM SOLVING;

FUZZY SETS;

EID: 0036346348     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Effective learning in noisy environment using neural network ensemble
2. ECOS: A framework for evolving connectionist systems and the ECO learning paradigm
3. Evolving fuzzy neural networks - Algorithms, applications and biological motivation
4. Fuzzy neural networks, rule extraction and fuzzy synergistic reasoning systems
5. Evolving connectionist and fuzzy connectionist systems for on-line decision making and control
6. Evolving connectionist systems and applications for adaptive speech recognition
7. Learning, reasoning, and rule extraction in evolving fuzzy neural networks
8. Evolving connectionist systems for on-line knowledge-based learning
9. The application of hybrid evolving connectionist systems to image classification
10. Rule insertion and rule extraction from evolving fuzzy neural networks: Algorithms and applications for building adaptive, intelligent, expert systems
11. The self organizing map
12. A convolutional neural networks approach
13. Actively searching for an effective neural network ensemble
14. DENFIS: Dynamic evolving neural-fuzzy inference system and its application for time-series prediction
15. Dynamic evolving neural-fuzzy inference system (DENFIS): On-line learning and applications for time-series prediction
16. Fruit image analysis using wavelets