Art
J-GLOBAL ID:200902296280016053   Reference number:07A1120594

Application of Artificial Neural Network Models to the Estimation of Chlorophyll a Concentration in Lake Koyama, Tottori Prefecture, Japan

日本鳥取県湖山池のクロロフィルa濃度の評価に対する人工的神経ネットワークモデルの適用
Author (5):
Material:
Volume: 52  Issue:Page: 405-409  Publication year: Oct. 29, 2007 
JST Material Number: S0238B  ISSN: 0023-6152  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: ENGLISH (EN)
Thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
,...
Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
,...
   To see more with JDream III (charged).   {{ this.onShowAbsJLink("http://jdream3.com/lp/jglobal/index.html?docNo=07A1120594&from=J-GLOBAL&jstjournalNo=S0238B") }}
JST classification (1):
JST classification
Category name(code) classified by JST.
Lake pollution 
Reference (7):
more...

Return to Previous Page