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Abstract
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Article Information:
T-S Neural Network Model Identification of Ultra-Supercritical Units for Superheater Based on Improved FCM
Yunjuan Li and Yanjun Fang
Corresponding Author: Yunjuan Li
Submitted: March 12, 2012
Accepted: April 03, 2012
Published: July 15, 2012 |
Abstract:
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The study constructs the T-S neural network model for the superheater with multiple inputs and
single output and presents an improved FCM algorithm aiming to solve the inputs’ space division problem. The
function parameters of the Gaussian membership are obtained to identify the model structure and the recursive
least squares method is adopted to identify model parameters. Simulations results show that the improved
method has good performance in model identification and the identified models have preferable accuracy and
generalization ability.
Key words: Model identification, superheater, T-S neural network, ultra-supercritical units, , ,
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Abstract
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Cite this Reference:
Yunjuan Li and Yanjun Fang, . T-S Neural Network Model Identification of Ultra-Supercritical Units for Superheater Based on Improved FCM. Research Journal of Applied Sciences, Engineering and Technology, (14): 2147-2152.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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