Show document

A+ | A- | SLO | ENG

Title: Genetic programming and artificial neural network modeling of PM10 emission close to a steel plant Authors: Župerl, Uroš (Author) Kovačič, Miha (Author) Senčič, Sandra (Author) Files:  http://www.rmz-mg.com/letniki/rmz60/RMZ60_0009-0016.pdf   Language: English Work type: Not categorized (r6) Tipology: 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 COBISS_ID: 2932987  ISSN: 1408-7073 UDC: 620.1/.2 URN: URN:SI:UNG:REP:RLP35NQ5 Views: 3934 Downloads: 139 Metadata:     Categories: Document is not linked to any category. Cite this work Plain text BibTeX EndNote XML EndNote/Refer RIS ABNT ACM Ref AMA APA Chicago Harvard IEEE ISO 690 MLA Vancouver :

Average score: (0 votes) Your score: Voting is allowed only for logged in users. Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Secondary language

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

Back