A New Insight into the Risk of Gaseous Release Assessment Based on a Minimax Approach

Anghel, C. I. and Ozunu, A. A New Insight into the Risk of Gaseous Release Assessment Based on a Minimax Approach Chemical Papers, Vol.59, No. 6b, 2005, 469-475

Document type: ńĆl√°nok z ńćasopisu / Journal Article
Collection: Chemical papers  
 
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Author(s) Anghel, C. I.
Ozunu, A.
Title A New Insight into the Risk of Gaseous Release Assessment Based on a Minimax Approach
Journal name Chemical Papers
Publication date 2005
Year available 2005
Volume number 59
Issue number 6b
ISSN 0366-6352
Start page 469
End page 475
Place of publication Poland
Publisher Versita
Collection year 2005
Language english
Subject 290000 Engineering and Technology
290900 Electrical and Electronic Engineering
Abstract/Summary An alternative method of the risk assessment for pollutant gas release based on artificial intelligence approach is presented. In principle the method is a pattern recognition developed as a linear discriminative classification problem related as a Minimax approach. This procedure has the ability to estimate both the dispersion of pollutant emission and the probabilistic certainty of these values. A simplified numerical experiment, prediction of the sulphur dioxide concentration from a smokestack, was carried out either using the proposed algorithm implemented in MATLAB package, or a specialized software package SLAB View. Both analyses produced reasonably accurate results. However, the proposed method was able to estimate both dispersion of the pollutant emission and a probabilistic certainty of this value.
 
 
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