Deco et al., 1995 - Google Patents
Decorrelated Hebbian learning for clustering and function approximationDeco et al., 1995
View PDF- Document ID
- 4094138454346139846
- Author
- Deco G
- Obradovic D
- Publication year
- Publication venue
- Neural Computation
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Snippet
This paper presents a new learning paradigm that consists of a Hebbian and anti-Hebbian learning. A layer of radial basis functions is adapted in an unsupervised fashion by minimizing a two-element cost function. The first element maximizes the output of each …
- 210000002569 neurons 0 abstract description 25
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- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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