Prototype based rules - a new way to understand the data

Proceedings of the International Joint Conference on Neural Networks

Volumn 3, Issue , 2001, Pages 1858-1863

  Duch, W ^a   Grudzinski K ^a  

^a NICOLAUS COPERNICUS UNIVERSITY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA STRUCTURES; FUZZY SETS; KNOWLEDGE ACQUISITION; OPTIMIZATION;

LOGICAL RULES; PROTOTYPE BASED RULES;

KNOWLEDGE BASED SYSTEMS;

EID: 0034869889     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. A new methodology of extraction, optimization and application of crisp and fuzzy logical rules
2. Neural optimization of linguistic variables and membership functions
3. Feature space mapping as a universal adaptive system
4. Interactive data exploration using MDS mapping
5. Mining association rules between sets of items in large databases
6. New neural transfer functions
7. Similarity based methods: A general framework for classification, approximation and association
8. Weighting and selection of features
9. SBL-PM: A simple algorithm for selection of reference instances for similarity based methods, intelligent information systems (IIS'2000), Physica Verlag, Springer
10. UCI repository of machine learning databases
11. The MONK's problems: A performance comparison of different learning algorithms
12. An empirical comparison of pattern recognition, neural nets and machine learning classification methods
13. Fuzzy neural expert system and its application to medical diagnosis
14. Neural eliminators and classifiers
15. Endangerment by skin cancer among population of south-east part of Poland
16. Data mining in medical diagnosis