Date: 2010-05-26

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

Language: eng

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

Source: TDX (Tesis Doctorals en Xarxa)

Author: Martínez Brito, Izacar Jesús

Director: Grifoll Taverna, Jordi Giralt, Francesc

Format: application/pdf

Publisher: Universitat Rovira i Virgili

Keywords: 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)

Title: Quantitative structure fate relationships for multimedia environmental analysis

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