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Evolving classification functions (ECF), evolving classifier functions or evolving classifiers are used for classifying and clustering in the field of machine learning and artificial intelligence, typically employed for data stream mining tasks in dynamic and changing environments. ==See also== *Evolving fuzzy rule-based Classifier (eClass 〔http://www.scholarpedia.org/article/Evolving_fuzzy_systems〕) *Evolving Takagi-Sugeno fuzzy systems (eTS 〔http://www.scholarpedia.org/article/Evolving_fuzzy_systems#Evolving_TS_fuzzy_systems〕) *Evolving All-Pairs (ensembled) classifiers (EFC-AP ) *Evolving Connectionist Systems (ECOS) :Dynamic Evolving Neuro-Fuzzy Inference Systems (DENFIS) :Evolving Fuzzy Neural Networks (EFuNN) :Evolving Self-Organising Maps *neuro-fuzzy techniques *hybrid intelligent systems *fuzzy clustering *Growing Neural Gas 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Evolving classification function」の詳細全文を読む スポンサード リンク
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