Soft Sensor Modeling Based on Radial Basis Function Neural Network and Fuzzy C-Means

Abstract:

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A neural network soft sensor based on fuzzy clustering is presented. The training data set is separated into several clusters with different centers, the number of fuzzy cluster is decided automatically, and the clustering centers are modified using an adaptive fuzzy clustering algorithm in the online stage. The proposed approach has been applied to the slab temperature estimation in a practical walking beam reheating furnace. Simulation results show that the approach is effective.

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

1263-1266

DOI:

10.4028/www.scientific.net/AMR.219-220.1263

Citation:

X. H. Wang and J. M. Xiao, "Soft Sensor Modeling Based on Radial Basis Function Neural Network and Fuzzy C-Means", Advanced Materials Research, Vols. 219-220, pp. 1263-1266, 2011

Online since:

March 2011

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Price:

$35.00

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