Tesis doctorals> Departament d'Enginyeria Química

Quantitative structure fate relationships for multimedia environmental analysis

  • Dades identificatives

    Identificador: TDX:372
    Handle: http://hdl.handle.net/20.500.11797/TDX372
  • Autors:

    Martínez Brito, Izacar Jesús
  • Altres:

    Data: 2010-05-26
    Departament/Institut: Departament d'Enginyeria Química Universitat Rovira i Virgili.
    Idioma: eng
    Identificador: urn:isbn:9788469345979 http://hdl.handle.net/10803/8590
    Font: TDX (Tesis Doctorals en Xarxa)
    Autor: Martínez Brito, Izacar Jesús
    Director: Grifoll Taverna, Jordi Giralt, Francesc
    Format: application/pdf
    Editor: Universitat Rovira i Virgili
    Paraula Clau: backpropagation network(BPN) artificial neural network(ANN) unsupervised learning algorithms uncertainty analysis support vector regression(SVR) quantitative property-fate relationship(QPFR) quantitative stucture-fate relationship(QSFR) radial basis function(RBF) self organizing map(SOM) supervised learning algorithms domain of applicability(DOA) fate estimations molecular descriptors multimedia environmental model (MEM) physicochemical properties principal component analysis(PCA)
    Títol: Quantitative structure fate relationships for multimedia environmental analysis
    Matèria: 62 - Enginyeria. Tecnologia 504 - Ciències del medi ambient
  • Paraules clau:

    62 - Enginyeria. Tecnologia
    504 - Ciències del medi ambient
  • Documents:

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