http://rdf.ncbi.nlm.nih.gov/pubchem/reference/18183737

Outgoing Links

Predicate Object
contentType Journal Article|Research Support, Non-U.S. Gov't
endingPage 15919
issn 0944-1344
1614-7499
issueIdentifier 20
pageRange 15910-15919
publicationName Environmental science and pollution research international
startingPage 15910
bibliographicCitation Ou H, Wei C, Wu H, Mo C, He B. Sequential dynamic artificial neural network modeling of a full-scale coking wastewater treatment plant with fluidized bed reactors. Environmental Science and Pollution Research. 2015 Jun 07;22(20):15910–9. doi: 10.1007/s11356-015-4676-3.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_d3880cd8104c3b18874106ce52f60910
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_26b5c7e517e0db45875eb41b9ca0d7cb
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_fb52cca125d6a3346772cbc18be90639
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_93c93c20a53dc5d0de749ac5a254adea
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_dc538e4296e03d404e42d369404997cf
date 2015-06-07-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://pubmed.ncbi.nlm.nih.gov/26050149
https://doi.org/10.1007/s11356-015-4676-3
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://www.crossref.org/
https://scigraph.springernature.com/
https://pubmed.ncbi.nlm.nih.gov/
title Sequential dynamic artificial neural network modeling of a full-scale coking wastewater treatment plant with fluidized bed reactors
discusses http://id.nlm.nih.gov/mesh/M0004731
discussesAsDerivedByTextMining http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID5975
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID996
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID82916

Total number of triples: 29.