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A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (northern Spain) - MaRDI portal

A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (northern Spain) (Q313682)

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scientific article; zbMATH DE number 6626272
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English
A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (northern Spain)
scientific article; zbMATH DE number 6626272

    Statements

    A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (northern Spain) (English)
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    12 September 2016
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    support vector machines (SVMs)
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    wavelet kernel
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    artificial bee colony (ABC)
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    Microcystis aeruginosa
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    Woronichinia naegeliana
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    regression analysis
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