Rule learning based on neural network ensemble

Proceedings of the International Joint Conference on Neural Networks

Volumn 2, Issue , 2002, Pages 1416-1420

  Jiang, Yuan ^a   Zhou, Zhi Hua ^a   Chen, Zhao Qian ^a  

^a NANJING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; IMAGE ANALYSIS; KNOWLEDGE BASED SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; LOGIC PROGRAMMING; OPTIMIZATION; PATTERN RECOGNITION;

CONTINUOUS ATTRIBUTE DISCRETIZATION; DECISION TREE; NEURAL NETWORK ENSEMBLE; RULE GENERATION;

NEURAL NETWORKS;

EID: 0036079844     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. Survey and critique of techniques for extracting rules from trained artificial neural networks
2. UCI repository of machine learning databases
3. Bagging predictors
4. Human expert level performance on a scientific image analysis task by a system using combined artificial neural networks
5. Stability problems with artificial neural networks and the ensemble solution
6. Improving performance in neural networks using a boosting algorithm
7. Face recognition using hybrid classifier systems
8. Ensemble methods for handwritten digit recognition
9. Neural network ensembles
10. AEI: An extension matrix approximate method for the general covering problem
11. A genetic algorithm for function optimization: A MATLAB implementation
12. Pose invariant face recognition
13. Chi-merge: Discretization of numeric attributes
14. A case study on bagging, boosting and basic ensembles of neural networks for OCR
15. Inductive logic programming
16. Learning internal representations by error propagation
17. Classification of seismic signals by integrating ensembles of neural networks
18. Learning with ensembles: How over-fitting can be useful
19. Lung cancer cell identification based on artificial neural network ensembles