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Volumn 6457 LNCS, Issue , 2010, Pages 309-318

Parallel distributed implementation of genetics-based machine learning for fuzzy classifier design

Author keywords

fuzzy classifier design; genetics based machine learning; large data sets; parallel distributed implementation

Indexed keywords

ATTRIBUTE SELECTION; CLASSIFIER DESIGN; COMPUTATION TIME; COMPUTATIONAL EXPERIMENT; CPU CORES; DISTRIBUTED IMPLEMENTATION; FUZZY CLASSIFIERS; FUZZY RULE-BASED CLASSIFIER; GENETICS BASED MACHINE LEARNING; LARGE DATASETS; RULE SELECTION; TRAINING DATA SETS; FUZZY GENETICS BASED MACHINE LEARNING;

EID: 78650731378     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17298-4_32     Document Type: Conference Paper
Times cited : (7)

References (18)
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    • Parallel distributed genetic fuzzy rule selection
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    • Analysis of interpretability-accuracy tradeoff by multiobjective fuzzy genetics-based machine learning
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.