- Tytuł:
- A hybrid cascade neuro-fuzzy network with pools of extended neo-fuzzy neurons and its deep learning
- Autorzy:
-
Bodyanskiy, Yevgeniy V.
Tyshchenko, Oleksii K. - Powiązania:
- https://bibliotekanauki.pl/articles/330840.pdf
- Data publikacji:
- 2019
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
data stream
membership function
training procedure
adaptive neuro-fuzzy system
extended neo-fuzzy neuron
strumień danych
funkcja przynależności
neuronowo rozmyty układ adaptacyjny - Opis:
- This research contribution instantiates a framework of a hybrid cascade neural network based on the application of a specific sort of neo-fuzzy elements and a new peculiar adaptive training rule. The main trait of the offered system is its competence to continue intensifying its cascades until the required accuracy is gained. A distinctive rapid training procedure is also covered for this case that offers the possibility to operate with non-stationary data streams in an attempt to provide online training of multiple parametric variables. A new training criterion is examined for handling non-stationary objects. Additionally, there is always an occasion to set up (increase) the inference order and the number of membership relations inside the extended neo-fuzzy neuron.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2019, 29, 3; 477-488
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł