Defining a nonlinear control problem to reduce particulate matter population exposure

Atmospheric Environment

Volumn 55, Issue , 2012, Pages 410-416

  Carnevale, Claudio ^a   Finzi, Giovanna ^a   Pisoni, Enrico ^a   Volta, Marialuisa ^a   Wagner, Fabian ^b  

^a UNIVERSITY OF BRESCIA   (Italy)

^b INTERNATIONAL INSTITUTE FOR APPLIED SYSTEMS ANALYSIS   (Austria)

Author keywords

Emission control; GAINS model; Multi objective optimization; Neural networks; Years Of Lost Life

Indexed keywords

AIR QUALITY PLANNING; ARTIFICIAL NEURAL NETWORK MODELS; ATMOSPHERIC PHENOMENA; DECISION PROBLEMS; HIGH CONCENTRATION; MULTI OBJECTIVE; MULTI OBJECTIVE OPTIMIZATIONS (MOO); NONLINEAR APPROACH; NONLINEAR CHEMICAL REACTIONS; NONLINEAR CONTROL PROBLEMS; NORTHERN ITALY; OPTIMIZATION ROUTINE; PARTICULATE MATTER; POPULATION EXPOSURE; REGIONAL SCALE; YEARS OF LOST LIFE;

EMISSION CONTROL; MULTIOBJECTIVE OPTIMIZATION; NEURAL NETWORKS;

AIR QUALITY;

AIR QUALITY; ARTIFICIAL NEURAL NETWORK; EMISSION CONTROL; NONLINEARITY; OPTIMIZATION; PARTICULATE MATTER; POLLUTION EXPOSURE;

AIR QUALITY CONTROL; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATMOSPHERE; CHEMICAL REACTION; EUROPE; ITALY; METHODOLOGY; PARTICULATE MATTER; POPULATION EXPOSURE; PRIORITY JOURNAL;

ITALY;

EID: 84859917526     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2012.03.033     Document Type: Article

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