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Chung et al., 1994 - Google Patents

Fuzzy competitive learning

Chung et al., 1994

Document ID
4563625025904093666
Author
Chung F
Lee T
Publication year
Publication venue
Neural Networks

External Links

Snippet

In this paper, a fuzzy competitive learning (FCL) paradigm adopting a principle of learn according to how well it wins is proposed, based upon which three existing competitive learning algorithms, namely, the unsupervised competitive learning, learning vector …
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Classifications

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    • G06N3/08Learning methods
    • G06N3/082Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06N3/04Architectures, e.g. interconnection topology
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    • G06COMPUTING; CALCULATING; COUNTING
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    • G06COMPUTING; CALCULATING; COUNTING
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    • G06K9/6271Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on distances between the pattern to be recognised and training or reference patterns based on distances to prototypes
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
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