Enhancing prediction in cyclone separators through computational intelligence

Pressure drop prediction is critical to the design and performance of cyclone separators as industrial gas cleaning devices. The complex non-linear relationship between cyclone Pressure Drop Coefficient (PDC) and geometrical dimensions suffice the need for state-of-the-art predictive modelling metho...

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Bibliographic Details

Main Authors:	Oluwaseyi Ogun, Mbetobong Enoh, Georgina Cosma, Aboozar Taherkhani, Vincenzo Madonna
Format:	Default Conference proceeding
Published:	2020
Subjects:	Cross-validation Multilayer neural network Extended Kalman filter Support vector machine Fuzzy system Pressure drop coefficient Cyclone
Online Access:	https://hdl.handle.net/2134/13061735.v1
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