Please use this identifier to cite or link to this item: http://dspace.usarb.md:8080/jspui/handle/123456789/5240
Title: Utilizarea algoritmilor fuzyy la prelucrarea seriilor numerice [Articol]
Authors: Chilat, Sergiu
Keywords: neural network
rules base
diagnostication
fuzzy logic
fuzzy controller
time series
Issue Date: 2016
Publisher: USARB
Citation: Chilat, Sergiu. Utilizarea algoritmilor fuzyy la prelucrarea seriilor numerice / S. Chilat // Orientări actuale în cercetarea doctorală : Materialele Colocviului şt. al doctoranzilor, Ed. a 5-a, 4 dec. 2015. – Bălţi : S. n., 2016. – P. 5-18. – ISBN 978-9975-3145-8-9.
Abstract: This paper presents a new method for making forecasting process, it is used a neural network and fuzzy controller. At the first stage, the neural network based forecasting performs internal parameters, then fuzzy controller adapts to changes in external parameters results. The main problem of neural networks in forecasting is unable to provide external parameters change, this problem was solved by fuzzy controller reacts to any change in external parameters and adjusts the data generated by the neural network forecasting.
URI: http://dspace.usarb.md:8080/jspui/handle/123456789/5240
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