Based on the BP Neural Network VAc Synthesis Reactor in Temperature Control

Hua Meng; Jia Ma; Shi Feng Bao; Shao Qing Wei

doi:10.4028/www.scientific.net/AMM.313-314.1389

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 313-314Based on the BP Neural Network VAc Synthesis...

Based on the BP Neural Network VAc Synthesis Reactor in Temperature Control

Abstract:

This paper analyzes the synthesis of vinyl acetate production process and technology, and applied the artificial neural network modeling approach, by using the adaptive learning rate BP learning algorithm, then established the medium temperature control of BP neural network in the structure model of the VAc synthesis process of flurried bed synthesis reactor, by controlling medium temperature of the synthesis reactor, the results show that: Be able to effectively will in reactor temperature control in good accuracy.

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Periodical:

Applied Mechanics and Materials (Volumes 313-314)

Pages:

1389-1392

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.313-314.1389

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Online since:

March 2013

Authors:

Hua Meng, Jia Ma, Shi Feng Bao, Shao Qing Wei

Keywords:

Artificial Neural Network (ANN), BP Algorithm, Medium Temperature Control, Synthesis Reactor, Vinyl Acetate

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