Paper Title:
Temperature Control of Batch Reaction Based on Genetic Fuzzy Neural Network
  Abstract

The batch reactor has strong nonlinearity and hysteresis, the conventional control method is hard to meet the control requirements. According to the batch processes temperature control, this thesis proposed an intelligent control scheme. Combined neural networks with fuzzy logic control, searching and optimized parameters of fuzzy neural network by using Genetic Algorithm (GA), displayed the design method and optimization steps, and the simulation results verify the control scheme which proposed is feasible and effective.

  Info
Periodical
Advanced Materials Research (Volumes 204-210)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
1968-1971
DOI
10.4028/www.scientific.net/AMR.204-210.1968
Citation
C. T. Man, J. Cui, X. X. Yang, J. K. Wang, T. F. Wang, "Temperature Control of Batch Reaction Based on Genetic Fuzzy Neural Network", Advanced Materials Research, Vols. 204-210, pp. 1968-1971, 2011
Online since
February 2011
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Price
$32.00
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