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    STUDIA CHEMIA - Issue no. 4 / 2013  
         
  Article:   METAMODELING LEVEL OF POLLUTION BASED ON OPERATING PARAMETERS OF A THERMO POWER STATION.

Authors:  CĂLIN I. ANGHEL.
 
       
         
  Abstract:   In process industries objectives as improving performance, reducing pollutant emission or predicting feasible operating conditions requires analysis based on complicated mathematical models and procedures. For quickly but reliable assessments besides of cumbersome approaches of potential support are so-called metamodeling techniques. The paper presents a metamodeling procedure belonging to artificial intelligence in a minimax approach able to assess predictions, trend and correlations to establish a safety-operating domain. The proposed procedure was compared with a robust total least squares regression based on principal component analysis. Numerical experiments are related to dependencies between the level of pollution and operating parameters of a thermo power station. Keywords: metamodeling, minimax probability, regression, classification, prediction, harmful level of pollution, operating parameters.  
         
     
         
         
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