Development of an algorithm to train artificial neural networks for intelligent decision support systems

Development of an algorithm to train artificial neural networks for intelligent decision support systems

The algorithm to train artificial neural networks for intelligent decision support systems has been constructed. A distinctive feature of the proposed algorithm is that it conducts training not only for synaptic weights of an artificial neural network, but also for the type and parameters of members...

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Bibliographic Details
Main Authors: Oleg Sova, Oleksandr Turinskyi, Andrii Shyshatskyi, Volodymyr Dudnyk, Ruslan Zhyvotovskyi, Yevgen Prokopenko, Taras Hurskyi, Valerii Hordiichuk, Anton Nikitenko, Artem Remez
Format: Article
Language:English
Published: PC Technology Center 2020-02-01
Series:Eastern-European Journal of Enterprise Technologies
Subjects:
artificial neural networks
synaptic weights
membership function
information processing
intelligent decision support systems
Online Access:http://journals.uran.ua/eejet/article/view/192711

Internet

http://journals.uran.ua/eejet/article/view/192711

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