Constructing a model hierarchy with background knowledge for structural risk minimization: Application to biological treatment of wastewater

IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans

Volumn 36, Issue 2, 2006, Pages 373-383

  Guergachi, A Aziz ^a   Patry, Gilles G ^b  

^a RYERSON UNIVERSITY   (Canada)

^b UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Biological treatment of wastewater; Bisubstrate hypothesis; Inductive principle of structural risk minimization; Mechanistically based system models; Multisubstrate hypothesis; Statistical learning theory

Indexed keywords

APPROXIMATION THEORY; BIOLOGICAL WATER TREATMENT; FUZZY SETS; LARGE SCALE SYSTEMS; LEARNING SYSTEMS; NONLINEAR CONTROL SYSTEMS; OPTIMIZATION; STATISTICAL METHODS; STOCHASTIC CONTROL SYSTEMS;

BIOLOGICAL TREATMENT OF WASTEWATER; INDUCTIVE PRINCIPLE OF STRUCTURAL RISK MINIMIZATION; MULTISUBSTRATE HYPOTHESIS; STATISTICAL LEARNING THEORY;

WASTEWATER TREATMENT;

EID: 33244468573     PISSN: 10834427     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCA.2005.853498     Document Type: Article

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