Paper Title:
Soft Sensor Modeling Based on Radial Basis Function Neural Network and Fuzzy C-Means
  Abstract

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, 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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