Classification of single particles by neural networks based on the computer-controlled scanning electron microscopy data
- 1 August 1997
- journal article
- Published by Elsevier in Analytica Chimica Acta
- Vol. 348 (1-3) , 375-388
- https://doi.org/10.1016/s0003-2670(97)00135-9
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- Comparison of an adaptive resonance theory based neural network (ART-2a) against other classifiers for rapid sorting of post consumer plastics by remote near-infrared spectroscopic sensing using an InGaAs diode arrayAnalytica Chimica Acta, 1995
- Classification of airborne particles by analytical scanning electron microscopy imaging and a modified Kohonen neural network (3MAP)Analytica Chimica Acta, 1995
- Airborne Particle Classification with a Combination of Chemical Composition and Shape Index Utilizing an Adaptive Resonance Artificial Neural NetworkEnvironmental Science & Technology, 1994
- Classification of multicomponent analytical data of olive oils using different neural networksAnalytica Chimica Acta, 1994
- Projection of Prim's minimal spanning tree into a Kohonen neural network for identification of airborne particle sources by their multielement trace patternsAnalytica Chimica Acta, 1994
- Multiple Site Receptor Modeling with a Minimal Spanning Tree Combined with a Neural NetworkEnvironmental Science & Technology, 1994
- Visual Neural Mapping Technique for Locating Fine Airborne Particles SourcesEnvironmental Science & Technology, 1994
- Using artificial neural networks for solving chemical problemsChemometrics and Intelligent Laboratory Systems, 1994
- Source Apportionment of the El Paso Aerosol by Particle Class Balance AnalysisAerosol Science and Technology, 1988
- Multivariate analysis of CCSEM auto emission dataScience of The Total Environment, 1987