Optimization of Incinerator Controllers using Artificial Neural Networks

  • Mackin, Kenneth J. (Department of Information Systems, Tokyo University of Information Sciences) ;
  • Fukushima, Ryutaro (Hitachi Zosen Corporation) ;
  • Fujiyoshi, Makoto (Hitachi Zosen Corporation)
  • Published : 2003.09.01


The emission of dioxins from waste incinerators is one of the most important environmental problems today, It is known that optimization of waste incinerator controllers is a very difficult problem due to the complex nature of the dynamic environment within the incinerator. In this paper, we propose applying artificial neural networks to waste incinerator controllers. We show that artificial neural networks can project the emission of dioxins with a fair degree of accuracy.