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

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
Main Authors: Ivan Pisa, Antoni Morell, Jose Lopez Vicario, Ramon Vilanova
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sensors
Subjects:
artificial neural networks
denoising autoencoders
long short-term memory cells
internal model control
wastewater treatment plants
Online Access:https://www.mdpi.com/1424-8220/20/13/3743

Internet

https://www.mdpi.com/1424-8220/20/13/3743

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