Vitynskyi et al., 2018 - Google Patents
Hybridization of the SGTM neural-like structure through inputs polynomial extensionVitynskyi et al., 2018
View PDF- 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 …
- 238000009396 hybridization 0 title description 3
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- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- 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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