Probabilistic neural network (PNN) methodology for the prediction of acute toxicity of chemicals to fathead minnow based solely on chemical structure-derived input parameters / Klaus L.E. Kaiser, Ph.D.,... : En13-5/99-1E-PDF
"This report gives an overview of the probabilistic neural network methodology, the individual results and a brief comparison with other available toxicity estimation models for the prediction of 96-hr LC50 values for the fathead minnow (Pimephales promelas) based on an 865 chemicals data set. It has been prepared as a background report for the Commercial Chemicals Evaluation Branch, Environment Canada, Ottawa"--Abstract, page 3.
Lien permanent pour cette publication :
publications.gc.ca/pub?id=9.872098&sl=1
Ministère/Organisme | Canada. Environment Canada. National Water Research Institute (Canada) |
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Titre | Probabilistic neural network (PNN) methodology for the prediction of acute toxicity of chemicals to fathead minnow based solely on chemical structure-derived input parameters / Klaus L.E. Kaiser, Ph.D., and Stefan P. Niculescu, Ph.D., National Water Research Institute. |
Titre de la série | NWRI contribution ; no. AEP-TN99-001 |
Type de publication | Série - Voir l'enregistrement principal |
Langue | [Anglais] |
Format | Électronique |
Document électronique | |
Note(s) | "In partial fulfillment of contract KW405-8-0512. Submitted to CCEB, 10 Dec. 1998, revised, 8 Jan. 1999." Digitized edition from print [produced by Environment and Climate Change Canada]. Includes bibliographical references. |
Information sur la publication | Burlington, Ontario : National Water Research Institute = Institut national de recherche sur les eaux, 1999. |
Auteur / Contributeur | Kaiser, Klaus L. E., 1941- author. Niculescu, Stefan P., author. |
Description | 1 online resource (37 pages) : illustrations. |
Numéro de catalogue |
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Descripteurs | Toxicology Freshwater fish |