Please use this identifier to cite or link to this item: http://dspace.usarb.md:8080/jspui/handle/123456789/5240
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dc.contributor.authorChilat, Sergiuro
dc.date.accessioned2021-11-12T08:16:17Z-
dc.date.available2021-11-12T08:16:17Z-
dc.date.issued2016ro
dc.identifier.citationChilat, 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.ro
dc.identifier.urihttp://dspace.usarb.md:8080/jspui/handle/123456789/5240-
dc.description.abstractThis 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.en_US
dc.language.isoroen_US
dc.publisherUSARBro
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectneural networken_US
dc.subjectrules baseen_US
dc.subjectdiagnosticationen_US
dc.subjectfuzzy logicen_US
dc.subjectfuzzy controlleren_US
dc.subjecttime seriesen_US
dc.titleUtilizarea algoritmilor fuzyy la prelucrarea seriilor numerice [Articol]ro
dc.typeArticleen_US
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