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eNauka >  Results >  Adaptive neuro fuzzy predictive models of agricultural biomass standard entropy and chemical exergy based on principal component analysis
Title: Adaptive neuro fuzzy predictive models of agricultural biomass standard entropy and chemical exergy based on principal component analysis
Authors: Petković, Biljana; Petković, Dalibor  ; Kuzman, Boris  
Issue Date: 2020
Publication: Biomass Conversion and Biorefinery
Adaptive neuro fuzzy predictive models of agricultural biomass standard entropy and chemical exergy based on principal component analysis
ISSN: 2190-6815 Biomass Conversion and Biorefinery Search Idenfier
Publisher: Springer
Type: Article
Collation: vol. 12 br. 7 str. 2835-2845
DOI: 10.1007/s13399-020-00767-1
WoS-ID: 000533829100002
Scopus-ID: 2-s2.0-85086048273
URI: https://enauka.gov.rs/handle/123456789/166869
http://repository.iep.bg.ac.rs/376/
URL: https://link.springer.com/article/10.1007/s13399-020-00767-1
Metadata source: Migracija
M-category: 
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