Genetic programming and artificial neural network modeling of PM10 emission close to a steel plant

Show document
A+ | A- | | SLO | ENG

Title:	Genetic programming and artificial neural network modeling of PM10 emission close to a steel plant
Authors:	ID Župerl, Uroš (Author) ID Kovačič, Miha (Author) ID Senčič, Sandra (Author)
Files:	http://www.rmz-mg.com/letniki/rmz60/RMZ60_0009-0016.pdf
Language:	English
Work type:	Not categorized
Typology:	1.01 - Original Scientific Article
Organization:	UNG - University of Nova Gorica
Keywords:	steel plant, PM10 concentrations, modeling, genetic programming, artificial neural network
Year of publishing:	2013
Number of pages:	str. 9-16
Numbering:	Vol. 60, no .1
PID:	20.500.12556/RUNG-1377
COBISS.SI-ID:	2932987
ISSN:	1408-7073
UDC:	620.1/.2
NUK URN:	URN:SI:UNG:REP:RLP35NQ5
Publication date in RUNG:	25.04.2014
Views:	5440
Downloads:	166
Metadata:
:	Copy citation

Average score:	(0 votes)
Your score:	Voting is allowed only for logged in users.
Share:

Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Language:	Slovenian
Keywords:	železarna, koncentracije PM 10, modeliranje, genetsko programiranje, nevronske mreže

Back