Fecha: 2010-05-26

Departamento/Instituto: Departament d'Enginyeria Química Universitat Rovira i Virgili.

Idioma: eng

Identificador: urn:isbn:9788469345979 http://hdl.handle.net/10803/8590

Fuente: TDX (Tesis Doctorals en Xarxa)

Autor: Martínez Brito, Izacar Jesús

Director: Grifoll Taverna, Jordi Giralt, Francesc

Formato: application/pdf

Editor: Universitat Rovira i Virgili

Palabra clave: 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)

Título: Quantitative structure fate relationships for multimedia environmental analysis

Materia: 62 - Enginyeria. Tecnologia 504 - Ciències del medi ambient