Denoising Autoencoders and LSTM-Based Artificial Neural Networks Data Processing for Its Application to Internal Model Control in Industrial Environments—The Wastewater Treatment Plant Control Case

The evolution of industry towards the Industry 4.0 paradigm has become a reality where different data-driven methods are adopted to support industrial processes. One of them corresponds to Artificial Neural Networks (ANNs), which are able to model highly complex and non-linear processes. This motiva...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 20; no. 13; p. 3743
Main Authors:	Pisa, Ivan, Morell, Antoni, Vicario, Jose Lopez, Vilanova, Ramon
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 04.07.2020 MDPI
Subjects:	artificial neural networks Chemical oxygen demand denoising autoencoders Effluents Fuzzy logic internal model control Internet of Things long short-term memory cells Mathematical models Neural networks Nitrogen Noise Principal components analysis Sensors Sewer systems Technology adoption Wastewater treatment wastewater treatment plants Water treatment
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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