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1 International Journal of Applied Mathematics and Computer Science

1 2019

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A hybrid cascade neuro-fuzzy network with pools of extended neo-fuzzy neurons and its deep learning

Bodyanskiy Yevgeniy V., Tyshchenko Oleksii K.

International Journal of Applied Mathematics and Computer Science

2019

Vol. 29, no. 3

477--488

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.