Paper Title:
Temperature Identification of Electrical Heating Furnace Based on Elman Network Combined with Improved PSO
  Abstract

A temperature model of the electrical heating furnace which is commonly used in industry is built by means of Elman neural network combined with an improved particle swarm optimization (IPSO). The input is duty cycle, and IPSO is used to optimize the weights and threshold values of Elman neural network to improve convergence capability and generalization performance of Elman network. Results show that the method performs better than ordinary Elman network in convergence speed and accuracy.

  Info
Periodical
Edited by
Qi Luo
Pages
82-87
DOI
10.4028/www.scientific.net/AMM.20-23.82
Citation
S. Ding, Y. Yin, W. Huang, J. Dong, X. M. Ma, "Temperature Identification of Electrical Heating Furnace Based on Elman Network Combined with Improved PSO", Applied Mechanics and Materials, Vols. 20-23, pp. 82-87, 2010
Online since
January 2010
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