The Application of Artificial Neural Networks to the Identification of New Spinosoids with Improved Biological Activity toward Larvae of Heliothis virescens
- 1 July 2000
- journal article
- Published by Elsevier in Pesticide Biochemistry and Physiology
- Vol. 67 (3) , 187-197
- https://doi.org/10.1006/pest.2000.2490
Abstract
No abstract availableKeywords
This publication has 7 references indexed in Scilit:
- Biological Activity of the Spinosyns, New Fermentation Derived Insect Control Agents, on Tobacco Budworm (Lepidoptera: Noctuidae) LarvaeJournal of Economic Entomology, 1998
- Application of neural networks: quantitative structure-activity relationships of the derivatives of 2,4-diamino-5-(substituted-benzyl)pyrimidines as DHFR inhibitorsJournal of Medicinal Chemistry, 1992
- The Use of Artificial Neural Networks in QSARPesticide Science, 1992
- Applications of neural networks in quantitative structure-activity relationships of dihydrofolate reductase inhibitorsJournal of Medicinal Chemistry, 1991
- Neural networks applied to pharmaceutical problems. III. Neural networks applied to quantitative structure-activity relationship (QSAR) analysisJournal of Medicinal Chemistry, 1990
- Neural networks applied to structure-activity relationshipsJournal of Medicinal Chemistry, 1990
- Variation in Resistance of Field Populations of Tobacco Budworm and Bollworm (Lepidoptera: Noctuidae) to Selected InsecticidesJournal of Economic Entomology, 1988