Please use this identifier to cite or link to this item: http://localhost:80/handle/Hannan/37442
Title: Investment strategies optimization based on a SAX-GA methodology
Authors: Canelas, António M. L.;Neves, Rui F. M. F.;Horta, Nuno C. G.
subject: Financial engineering.;Engineering;Artificial Intelligence;Finance.;Computational intelligence.;HG176.7.C36 2013eb (Online)
Year: 2013
place: Berlin.
New York
Publisher: Springer
Series/Report no.: SpringerBriefs in applied sciences and technology, Computational intelligence, 2191-530X.
SpringerBriefs in applied sciences and technology. Computational intelligence.
URI: http://46.100.53.162/handle/Ebook/37442
Appears in Collections:پول،بانکداری،بیمه

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Title: Investment strategies optimization based on a SAX-GA methodology
Authors: Canelas, António M. L.;Neves, Rui F. M. F.;Horta, Nuno C. G.
subject: Financial engineering.;Engineering;Artificial Intelligence;Finance.;Computational intelligence.;HG176.7.C36 2013eb (Online)
Year: 2013
place: Berlin.
New York
Publisher: Springer
Series/Report no.: SpringerBriefs in applied sciences and technology, Computational intelligence, 2191-530X.
SpringerBriefs in applied sciences and technology. Computational intelligence.
URI: http://46.100.53.162/handle/Ebook/37442
Appears in Collections:پول،بانکداری،بیمه

Files in This Item:
File Description SizeFormat 
9783642331107.pdf4.88 MBAdobe PDFThumbnail
Preview File
Title: Investment strategies optimization based on a SAX-GA methodology
Authors: Canelas, António M. L.;Neves, Rui F. M. F.;Horta, Nuno C. G.
subject: Financial engineering.;Engineering;Artificial Intelligence;Finance.;Computational intelligence.;HG176.7.C36 2013eb (Online)
Year: 2013
place: Berlin.
New York
Publisher: Springer
Series/Report no.: SpringerBriefs in applied sciences and technology, Computational intelligence, 2191-530X.
SpringerBriefs in applied sciences and technology. Computational intelligence.
URI: http://46.100.53.162/handle/Ebook/37442
Appears in Collections:پول،بانکداری،بیمه

Files in This Item:
File Description SizeFormat 
9783642331107.pdf4.88 MBAdobe PDFThumbnail
Preview File