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Modeling, Simulation and Optimal Control of Ethylene Polymerization in Non-Isothermal, High-Pressure Tubular Reactors

✍ Scribed by Yao, Fred Z; Lohi, Ali; Upreti, Simant R.; Dhib, Ramdhane


Book ID
111941316
Publisher
Walter de Gruyter GmbH & Co. KG
Year
2004
Tongue
English
Weight
353 KB
Volume
2
Category
Article
ISSN
2194-5748

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Neural network computing is one of the fastest growing fields of artificial intelligence due to its ability to "learn" nonlinear relationships. This article presents the approach of back propagation neural networks for modeling of free radical polymerization in high pressure tubular reactors. Indust