Breast cancer diagnosis based on evolvable fuzzy classifiers and feature selection

Applications and Innovations in Intelligent Systems XVI - Proceedings of AI 2008, the 28th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence

Volumn , Issue , 2009, Pages 185-195

  Lekkas, S ^a   Mikhailov, L ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED DIAGNOSIS; DATA STREAMS; DECISION MAKING; DISEASES; FUZZY INFERENCE; FUZZY RULES; INTELLIGENT SYSTEMS; LEARNING SYSTEMS;

BREAST CANCER DIAGNOSIS; CLASSIFICATION RATES; CLASSIFICATION TASKS; CONTROL APPLICATIONS; DECISION-MAKING PROBLEM; FUZZY RULE-BASED CLASSIFIER; ON-LINE LEARNING METHODS; TAKAGI-SUGENO-KANG RULES;

FAULT DETECTION;

EID: 84881407247     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-1-84882-215-3_14     Document Type: Conference Paper

References (13)

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