Publication Details |
Category | Text Publication |
Reference Category | Journals |
DOI | 10.2166/wqrj.1997.037 |
Title (Primary) | Feed forward backpropagation neural networks and their use in predicting the acute toxicity of chemicals to the fathead minnow |
Author | Kaiser, K.L.E.; Niculescu, S.P.; Schüürmann, G. |
Journal | Water Quality Research Journal of Canada |
Year | 1997 |
Department | OEC; COE |
Volume | 32 |
Issue | 3 |
Page From | 637 |
Page To | 657 |
Language | englisch |
Abstract | Various aspects connected to the use of feed forward backpropagationneural networks to build multivariate QSARs based on large data setscontaining considerable amounts of important information are investigated. Based on such a model and a 419 compound data set, the explicit equation of one of the resulting multivariate QSARs for the computation of toxicity to the fathead minnow is presented as function of measured Microtox, logarithms of molecular weight and octanol/water partition coefficient, and 48 other functional group and discrete descriptors. |
Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=9367 |
Kaiser, K.L.E., Niculescu, S.P., Schüürmann, G. (1997): Feed forward backpropagation neural networks and their use in predicting the acute toxicity of chemicals to the fathead minnow Water Qual. Res. J. Canada 32 (3), 637 - 657 |