• DocumentCode
    447647
  • Title

    An introduction to biological wastewater treatment explained by SOM and clustering algorithms

  • Author

    García, Hilario López ; González, Iván Machón

  • Author_Institution
    Departamento de Ingenieria Electr., Escuela Politecnica Superior de Ingenieria, Spain
  • Volume
    1
  • fYear
    2004
  • fDate
    4-7 May 2004
  • Firstpage
    525
  • Abstract
    The objective of this paper is the establishment of the relationships among the main variables of a wastewater biological treatment process using, as a first approach, data from a continuous aerobic reactor that was simulated by means of the activated sludge model No 1 (ASM no 1). Self-organizing map (SOM) and clustering techniques were used to carry out this task.
  • Keywords
    self-organising feature maps; sludge treatment; wastewater treatment; activated sludge model; biological wastewater treatment; clustering algorithms; continuous aerobic reactor; self-organizing map; Biodegradable materials; Biological materials; Biological system modeling; Biomass; Clustering algorithms; Inductors; Microorganisms; Nitrogen; Organisms; Wastewater treatment; biological wastewater treatment; clustering algorithms; self-organizing map;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2004 IEEE International Symposium on
  • Print_ISBN
    0-7803-8304-4
  • Type

    conf

  • DOI
    10.1109/ISIE.2004.1571862
  • Filename
    1571862