Layer-Recurrent Neural Network Modelling of Reactive Distillation Process

GIWA, Abdulwahab and GIWA, Saidat Olanipekun (2013) Layer-Recurrent Neural Network Modelling of Reactive Distillation Process. Layer-Recurrent Neural Network Modelling of Reactive Distillation Process, 4. pp. 647-656. ISSN 2241-0503


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Reactive distillation is one of the complex processes encountered in process industries as a result of the integration of both reaction and separation in a single unit. Nowadays, the modelling of this process has become a big challenge to Process Engineers. The use of a reliable model that can handle complex functions is very necessary to represent this complex process. It has been discovered that Neural Network can be used to handle complex functions very well. Therefore, the modelling of the reactive distillation process considered in this work has been carried out with the aid of a dynamic neural network known as Layer-Recurrent Neural Network. The simulated results obtained from the developed Neural Network models were compared with the measured results to confirm the validities of the developed models.

Item Type: Article
Uncontrolled Keywords: Neural Network, Reactive distillation, Modelling, Simulation.
Subjects: T Technology > TP Chemical technology
Divisions: Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User: Mr Tayo Okunlola
Date Deposited: 21 Dec 2015 15:02
Last Modified: 21 Dec 2015 15:02

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