http://rdf.ncbi.nlm.nih.gov/pubchem/reference/3352815

Outgoing Links

Predicate Object
contentType Journal Article
endingPage 15882
issn 1614-7499
0944-1344
issueIdentifier 13
pageRange 15870-15882
publicationName Environmental science and pollution research international
startingPage 15870
bibliographicCitation Alver A, Baştürk E, Kılıç A. Development of adaptive neuro-fuzzy inference system model for predict trihalomethane formation potential in distribution network simulation test. Environmental Science and Pollution Research. 2020 Nov 26;28(13):15870–82. doi: 10.1007/s11356-020-11801-0.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-2365-3093
http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-1628-5026
http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0003-2734-8544
date 2020-11-26-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://pubmed.ncbi.nlm.nih.gov/33244689
https://doi.org/10.1007/s11356-020-11801-0
isPartOf http://rdf.ncbi.nlm.nih.gov/pubchem/journal/22074
https://portal.issn.org/resource/ISSN/0944-1344
https://portal.issn.org/resource/ISSN/1614-7499
language English
source https://pubmed.ncbi.nlm.nih.gov/
https://www.crossref.org/
https://scigraph.springernature.com/
title Development of adaptive neuro-fuzzy inference system model for predict trihalomethane formation potential in distribution network simulation test
discusses http://id.nlm.nih.gov/mesh/M0359610
http://id.nlm.nih.gov/mesh/M0022890
http://id.nlm.nih.gov/mesh/M0002941
http://id.nlm.nih.gov/mesh/M0004144
discussesAsDerivedByTextMining http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID259
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID24526

Total number of triples: 29.