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Improving the accuracy of a flood forecasting model by means of machine learning and chaos theory.

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Title: Improving the accuracy of a flood forecasting model by means of machine learning and chaos theory.
Authors: Furquim, Gustavo1, gafurquim@usp.br, Pessin, Gustavo2, gustavo.pessin@itv.org, Faiçal, Bruno1, bsfaical@usp.br, Mendiondo, Eduardo3, emm@sc.usp.br, Ueyama, Jó1, joueyama@icmc.usp.br
Source: Neural Computing & Applications; Jul2016, Vol. 27 Issue 5, p1129-1141, 13p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 116100118
AccessLevel: 2
PubType: Academic Journal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=116100118
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        Value: 10.1007/s00521-015-1930-z
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      – Code: eng
        Text: English
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        PageCount: 13
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      – TitleFull: Improving the accuracy of a flood forecasting model by means of machine learning and chaos theory.
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              Text: Jul2016
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              Y: 2016
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              Value: 27
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