Evolving classification functions (ECF), evolving classifier functions or evolving
classifiers are used for classifying and clustering in the field of
machine learning
Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence.
Machine ...
and
artificial intelligence
Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machine
A machine is a physical system using Power (physics), power to apply Force, forces and control Motion, moveme ...
, typically employed for
data stream mining Data Stream Mining (also known as stream learning) is the process of extracting knowledge structures from continuous, rapid data records. A data stream is an ordered sequence of instances that in many applications of data stream mining can be read ...
tasks in dynamic and changing environments.
See also
*Supervised Classification on Data Streams
*Evolving fuzzy rule-based Classifier (eClass )
*Evolving Takagi-Sugeno fuzzy systems (eTS )
*Evolving All-Pairs (ensembled) classifiers (EFC-AP
)
*Evolving
Connectionist Systems (ECOS)
:Dynamic Evolving Neuro-Fuzzy Inference Systems (DENFIS)
:Evolving Fuzzy
Neural Networks
A neural network is a network or circuit of biological neurons, or, in a modern sense, an artificial neural network, composed of artificial neurons or nodes. Thus, a neural network is either a biological neural network, made up of biological ...
(EFuNN)
:Evolving
Self-Organising Maps
*
neuro-fuzzy
In the field of artificial intelligence, neuro-fuzzy refers to combinations of artificial neural networks and fuzzy logic.
Overview
Neuro-fuzzy hybridization results in a hybrid intelligent system that these two techniques by combining the human ...
techniques
*
hybrid intelligent systems
*
fuzzy clustering
*
Growing Neural Gas
References
Classification algorithms
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