Author:
Funar-Timofei Simona,Kurunczi Ludovic
Funder
Project 1.1 from the Research Program of the Institute of Chemistry Timisoara of the Romanian Academy
Subject
Process Chemistry and Technology,General Chemical Engineering
Reference7 articles.
1. Quantitative structure–affinity relationship study of azo dyes for cellulose fibers by multiple linear regression and artificial neural network;Wang;Chemom Intell Lab Syst,2014
2. Modelling heterocyclic azo dye affinities for cellulose fibres by computational approaches;Funar-Timofei;Dyes Pigments,2012
3. Predictive quantitative Structure–Activity relationships modeling: development and validation of QSAR models;Tropsha,2010
4. On the development and validation of QSAR models;Gramatica,2013
5. Principles of QSAR models validation: internal and external;Gramatica;QSAR Comb Sci,2007
Cited by
2 articles.
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