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Using Neuro Fuzzy Methods for Creating Sales Forecasting Web Service

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dc.contributor.author CHILAT, S.
dc.date.accessioned 2019-07-17T07:40:24Z
dc.date.available 2019-07-17T07:40:24Z
dc.date.issued 2015
dc.identifier.citation CHILAT, S. Using Neuro Fuzzy Methods for Creating Sales Forecasting Web Service. In: Telecomunicaţii, Electronică şi Informatică: proc. of the 5th intern. conf., May 20-23, 2015. Chişinău, 2015, pp. 339-342. ISBN 978-9975-45-377-6. en_US
dc.identifier.isbn 978-9975-45-377-6
dc.identifier.uri http://repository.utm.md/handle/5014/3586
dc.description.abstract This paper presents a new way of implementing the forecasting process using a neural network and a fuzzy controller. At the first stage of the process, the neural network performs the forecasting based on internal parameters, and then the fuzzy controller adapts the results to the changes of the external parameters. The main problem of neural networks in forecasting is the impossibility to foresee the changes in the external parameters. This problem is solved by the fuzzy controller, which reacts to any change in the external parameters and adjusts the forecasted data provided the neural network. en_US
dc.language.iso en en_US
dc.publisher Technical University of Moldova en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject neural network en_US
dc.subject fuzzy logic en_US
dc.subject fuzzy controller en_US
dc.subject rule base en_US
dc.subject time series en_US
dc.subject rețele neuronale en_US
dc.subject logica fuzzy en_US
dc.subject controlere fuzzy en_US
dc.subject baze de reguli en_US
dc.subject serii de timp en_US
dc.title Using Neuro Fuzzy Methods for Creating Sales Forecasting Web Service en_US
dc.type Article en_US


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