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Application of evolutionary neural networks and support vector machines to model NOx emissions from gas turbines

  • Published:2018-02 Issue:1 Volume:6 Page:1044-1052
  • ISSN:2213-3437
  • Container-title:Journal of Environmental Chemical Engineering
  • language:en
  • Short-container-title:Journal of Environmental Chemical Engineering

Author:

Azzam Mazen,Awad Mariette,Zeaiter Joseph

Funder

Munib & Angela Masri Institute of Energy and Natural Resources

Publisher

Elsevier BV

Subject

Process Chemistry and Technology,Pollution,Waste Management and Disposal,Chemical Engineering (miscellaneous)

Reference41 articles.

1. Emission control in palm oil mills using artificial neural network and genetic algorithm;Ahmad;Comput. Chem. Eng.,2004

2. Predicitve emissions monitoring using a continuously updating neural network;Vanderhaegen,2010

3. Software vs. hardware approach to emissions monitoring;Smith;Pulp and Paper Industry Conference, 2015 61 st IEEE,2015

4. Comparing empirical: statistical and neural network models calculating NOx emissions from gas turbines;Skreiberg;Int. J. Energy Clean Environ.,2007

5. Estimation of NOx emissions in thermal power plants using neural networks;Ferretti;J. Eng. Gas Turbines Power-Trans. ASME,2001
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