Modeling of Distillation Tower Temperature Based on D-FNN

Abstract:

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Distillation temperature control system is characteristics of nonlinear time-varying and we use dynamic fuzzy neural network to model the temperature of distillation. Firstly, we introduce the structure and algorithm of dynamic fuzzy neural network; Second, after data preprocessing of distillation process, we use dynamic Fuzzy neural network modeling the temperature of distillation. Dynamic fuzzy neural network adopt dynamic learning algorithm, and characteristic of approximation. The simulation results show the effect and accuracy of Dynamic fuzzy neural network model ing method.

Info:

Periodical:

Advanced Materials Research (Volumes 383-390)

Edited by:

Wu Fan

Pages:

1463-1469

DOI:

10.4028/www.scientific.net/AMR.383-390.1463

Citation:

S. Z. Gao et al., "Modeling of Distillation Tower Temperature Based on D-FNN", Advanced Materials Research, Vols. 383-390, pp. 1463-1469, 2012

Online since:

November 2011

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Price:

$35.00

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