“Evolving classification function”的意思、由来-开放百科全书

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

Supervised Classification on Data Streams ^[1]

Evolving fuzzy rule-based Classifier (eClass ^[2])

Evolving Takagi-Sugeno fuzzy systems (eTS ^[3])

Evolving All-Pairs (ensembled) classifiers (EFC-AP ^[4])

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

References

1. ^{{Cite book | doi=10.1007/978-3-319-17551-5_4| chapter=A Survey on Supervised Classification on Data Streams| title=Business Intelligence| volume=205| pages=88–125| series=Lecture Notes in Business Information Processing| year=2015| last1=Lemaire| first1=Vincent| last2=Salperwyck| first2=Christophe| last3=Bondu| first3=Alexis| isbn=978-3-319-17550-8}}
2. ^http://www.scholarpedia.org/article/Evolving_fuzzy_systems
3. ^http://www.scholarpedia.org/article/Evolving_fuzzy_systems#Evolving_TS_fuzzy_systems
4. ^{{cite journal|last=Lughofer|first=E.|author2=Buchtala, O.|title=Reliable All-Pairs Evolving Fuzzy Classifiers|journal=IEEE Transactions on Fuzzy Systems|year=2013|volume=21|issue=4|pages=625–641|url=http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6341816|doi=10.1109/TFUZZ.2012.2226892}}

1 : Classification algorithms