NARX Deep Convolutional Fuzzy System for Modelling Nonlinear Dynamic Processes

NARX Deep Convolutional Fuzzy System for Modelling Nonlinear Dynamic Processes

This paper presents a new approach for modelling nonlinear dynamic processes (NDP). It is based on a nonlinear autoregressive with exogenous (NARX) inputs model structure and a deep convolutional fuzzy system (DCFS). The DCFS is a hierarchical fuzzy structure, which can overcome the deficiency of ge...

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Bibliographic Details
Main Author: Marjan Golob
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Mathematics
Subjects:
process identification
input-output modelling
NARX model
decomposed fuzzy system
hierarchical fuzzy system
deep convolutional fuzzy system
Online Access:https://www.mdpi.com/2227-7390/11/2/304

Internet

https://www.mdpi.com/2227-7390/11/2/304

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