Layer-Recurrent Neural Network Modelling of Reactive Distillation Process

Abdulwahab, GIWA and Saidat, Olanipekun GIWA (2013) Layer-Recurrent Neural Network Modelling of Reactive Distillation Process. Chaotic Modeling and Simulation, 4. pp. 647-656. ISSN 241-0503

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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 > T Technology (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mr. Victor Sebiotimo
Date Deposited: 13 Mar 2019 15:50
Last Modified: 13 Mar 2019 15:50

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