Identifying static and dynamic prediction models for NOx emissions with evolving fuzzy systems

Applied Soft Computing Journal

Volumn 11, Issue 2, 2011, Pages 2487-2500

  Lughofer, Edwin ^a   MacIán, Vicente ^b   Guardiola, Carlos ^b   Klement, Erich Peter ^a  

^a JOHANNES KEPLER UNIVERSITY LINZ   (Austria)

^b UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

analytical physical oriented models; Combustion engines; FLEXFIS; High dimensional data; NOx emissions; Steady state and dynamic engine states; Takagi Sugeno fuzzy systems

Indexed keywords

ANALYTICAL PHYSICAL-ORIENTED MODELS; COMBUSTION ENGINES; FLEXFIS; HIGH DIMENSIONAL DATA; NOX EMISSIONS; STEADY-STATE AND DYNAMIC ENGINE STATES; TAKAGI SUGENO FUZZY SYSTEMS;

COMBUSTION; COMBUSTION EQUIPMENT; DIESEL ENGINES; DYNAMICS; ENGINES; FEEDBACK CONTROL; FORECASTING; FUZZY INFERENCE; FUZZY SETS; MATHEMATICAL MODELS; NITROGEN OXIDES; VECTOR QUANTIZATION;

MODELS;

EID: 78751619797     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2010.10.004     Document Type: Conference Paper

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