In:
Water Quality Research Journal, IWA Publishing, Vol. 32, No. 3 ( 1997-08-01), p. 637-658
Abstract:
Various aspects connected to the use of feed forward backpropagation neural networks to build multivariate QSARs based on large data sets containing 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.
Type of Medium:
Online Resource
ISSN:
1201-3080
,
2408-9443
DOI:
10.2166/wqrj.1997.037
Language:
English
Publisher:
IWA Publishing
Publication Date:
1997
detail.hit.zdb_id:
2948758-4
detail.hit.zdb_id:
2739923-0
SSG:
12
Bookmarklink