Prediction of the Impact Sensitivity by Neural Networks
- 1 January 1996
- journal article
- Published by American Chemical Society (ACS) in Journal of Chemical Information and Computer Sciences
- Vol. 36 (4) , 804-810
- https://doi.org/10.1021/ci950223m
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- Analysis of linear and nonlinear QSAR data using neural networksJournal of Medicinal Chemistry, 1994
- A relationship between the impact sensitivity and the electronic structures for the unique NN bond in the HMX polymorphsCombustion and Flame, 1994
- Variable Selection in QSAR Studies. II. A Highly Efficient Combination of Systematic Search and EvolutionQuantitative Structure-Activity Relationships, 1994
- Statistics using neural networks: chance effectsJournal of Medicinal Chemistry, 1993
- Applications of neural networks in quantitative structure-activity relationships of dihydrofolate reductase inhibitorsJournal of Medicinal Chemistry, 1991
- Predicting the secondary structure of globular proteins using neural network modelsJournal of Molecular Biology, 1988
- A simple method for calculating atomic charge in moleculesJournal of the American Chemical Society, 1986
- Atomic and group electronegativitiesJournal of the American Chemical Society, 1984
- The relationship of Impact Sensitivity with Structure of Organic High Explosives. II. Polynitroaromatic explosivesPropellants, Explosives, Pyrotechnics, 1979
- Relation entre la Structure Electronique et la Sensibilité au Choc des Explosifs Secondaires Nitrés‐Critère Moléculaire de Sensibilité. I. Cas des Nitroaromatiques et des NitraminesPropellants, Explosives, Pyrotechnics, 1978