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Vitynskyi et al., 2018 - Google Patents

Hybridization of the SGTM neural-like structure through inputs polynomial extension

Vitynskyi et al., 2018

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Document ID
14062036182326099772
Author
Vitynskyi P
Tkachenko R
Izonin I
Kutucu H
Publication year
Publication venue
2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP)

External Links

Snippet

In this paper, a new approach for increasing the approximation accuracy with the use of computational intelligence tools is described. It is based on the compatible use of the neural- like structure of the Successive Geometric Transformations Model and the inputs polynomial …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
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