Methodology of advanced data validation and reconciliation application in industrial thermal processes
Sign Up to like & getrecommendations! Published in 2020 at "Energy"
DOI: 10.1016/j.energy.2020.117326
Abstract: Data validation and reconciliation is a technique that uses process information and mathematical methods in order to correct measurements in thermal industrial processes. On the need to measurements data validation and reconciliation (DVR) in order… read more here.
Keywords: data validation; methodology; industrial thermal; advanced dvr ... See more keywords
Elliot and Symmetric Elliot Extreme Learning Machines for Gaussian Noisy Industrial Thermal Modelling
Sign Up to like & getrecommendations! Published in 2018 at "Energies"
DOI: 10.3390/en12010090
Abstract: This research proposes an Elliot-based Extreme Learning Machine approach for industrial thermal processes regression. The main contribution of this paper is to propose an Extreme Learning Machine model with Elliot and Symmetric Elliot activation functions… read more here.
Keywords: symmetric elliot; industrial thermal; regression; extreme learning ... See more keywords