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
| Department/Agency | Canada. Environment Canada. National Water Research Institute (Canada) |
|---|---|
| Title | 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. |
| Series title | NWRI contribution ; no. AEP-TN99-001 |
| Publication type | Series - View Master Record |
| Language | [English] |
| Format | Electronic |
| 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. |
| Description | 1 online resource (37 pages) : illustrations. |
| Catalogue number |
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| Subject terms | Toxicology Freshwater fish |