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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.

Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.872098&sl=0

Publication information
Department/Agency
  • Canada. Environment Canada.
  • National Water Research Institute (Canada)
TitleProbabilistic 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.
Series title
  • NWRI contribution ; no. AEP-TN99-001
Publication typeMonograph - View Master Record
Language[English]
FormatDigital text
Electronic document
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.
Publishing information
  • Burlington, Ontario : National Water Research Institute = Institut national de recherche sur les eaux, 1999.
Author / Contributor
  • Kaiser, Klaus L. E., 1941- author.
  • Niculescu, Stefan P., author.
Description1 online resource (37 pages) : illustrations.
Catalogue number
  • En13-5/99-1E-PDF
Subject terms
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