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Applications of Neural Networks to pH Control

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Neural Networks: Artificial Intelligence and Industrial Applications

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Abstract

The neutralization of an acidic waste water was controlled by two NNs. One predicts future pH values, the other manipulates an alkaline current.

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References

  1. Nahas EP, Hensoon MA, Serborg DE. Nonlinear internal model control strategy for neural network models. Computers Chem. Eng. 1992; 16 (12): 1039–1057.

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  2. Bath M, McAvoy TJ. Use of neural nets for dynamic modelling and control of chemical process systems. Computers Chem. Eng. 1990; 14 (4/5): 573–583.

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  3. Aldrich C, Sanie J. Comparison of different artificial neural nets. Ind. Eng. Chem. Res. 1995; 24: 216–224.

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Author information

Authors and Affiliations

  1. Dept. of Chemical Engineering. Faculty of Chemistry, Universidad Complutense de Madrid, 28040, Madrid, Spain

    José M. Aragón, María C. Palancar & José S. Torrecilla

Authors
  1. José M. Aragón
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  2. María C. Palancar
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  3. José S. Torrecilla
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Editor information

Editors and Affiliations

  1. Dutch Foundation for Neural Networks (SNN), Geert Grooteplein Noord 21, 6525 EZ, Nijmegen, The Netherlands

    Bert Kappen  & Stan Gielen  & 

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© 1995 Springer-Verlag London Limited

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Aragón, J.M., Palancar, M.C., Torrecilla, J.S. (1995). Applications of Neural Networks to pH Control. In: Kappen, B., Gielen, S. (eds) Neural Networks: Artificial Intelligence and Industrial Applications. Springer, London. https://doi.org/10.1007/978-1-4471-3087-1_47

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  • DOI: https://doi.org/10.1007/978-1-4471-3087-1_47

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19992-2

  • Online ISBN: 978-1-4471-3087-1

  • eBook Packages: Springer Book Archive

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