Industrial Time Series Modelling by Means of the Neo-Fuzzy Neuron
Industrial process monitoring and modeling represent a critical step in order to achieve the paradigm of zero defect manufacturing. The aim of this paper is to introduce the neo-fuzzy neuron method to be applied in industrial time series modeling. Its open structure and input independence provide fa...
Main Authors: | Daniel Zurita, Miguel Delgado, Jesus A. Carino, Juan A. Ortega, Guy Clerc |
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Format: | Article |
Language: | English |
Published: |
IEEE
2016-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/7572156/ |
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