Neural Networks as a Tool for Gray Box Modelling in Reactive Distillation

Neural Networks as a Tool for Gray Box Modelling in Reactive Distillation

In this paper we discuss the use of neural networks as a tool for gray box modelling of the reactive distillation column. The basic idea is to replace certain correlations for the calculation of physical properties by neural networks. Different architectures as radial basis function networks and fee...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Dadhe, Kai, Roßmann, Volker, Durmus, Kazim, Engell, Sebastian
Format: Buchkapitel
Sprache:eng
Schlagworte:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Connectionism. Neural networks
Distillation Column
Exact sciences and technology
Hide Layer
Model Predictive Control
Radial Basis Function
Root Mean Square Error
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:In this paper we discuss the use of neural networks as a tool for gray box modelling of the reactive distillation column. The basic idea is to replace certain correlations for the calculation of physical properties by neural networks. Different architectures as radial basis function networks and feedforward networks are compared and their approximation abilities are demonstrated.
ISSN:0302-9743
1611-3349
DOI:10.1007/3-540-45493-4_58