A Novel Neuro-Fuzzy Model for Multivariate Time-Series Prediction

A Novel Neuro-Fuzzy Model for Multivariate Time-Series Prediction

Time series forecasting can be a complicated problem when the underlying process shows high degree of complex nonlinear behavior. In some domains, such as financial data, processing related time-series jointly can have significant benefits. This paper proposes a novel multivariate hybrid neuro-fuzzy...

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Bibliographic Details
Main Authors: Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Dmytro Peleshko
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Data
Subjects:
time series
neuro-fuzzy
membership function
backpropagation
Kachmarz method
Gaussian
prediction
Online Access:https://www.mdpi.com/2306-5729/3/4/62

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