Sizing of soft spheroidal particles by multiangle scattered light intensity data: application of neural networks

Autor:	Vladimir V. Berdnik, Robert D. Mukhamedyarov, Valery A. Loiko
Rok vydání:	2004
Předmět:	Physics Range (particle radiation) Radiation Artificial neural network Aspect ratio business.industry Scattering Atomic and Molecular Physics and Optics Sizing Optics Orientation (geometry) Particle business Spectroscopy Intensity (heat transfer)
Zdroj:	Journal of Quantitative Spectroscopy and Radiative Transfer. 89:279-289
ISSN:	0022-4073
Popis:	The problem of retrieval of size, orientation, and aspect ratio of a prolate optically soft spheroidal particle by measurements of scattered light intensity at a wide set of scattering angles is considered. For its solution the neural networks method is used. The errors in the retrieved particle sizes and particle orientation for radii of an equivolume sphere in the range of 0.3– 1.5 μ m and aspect ratio from 1 to 3 are investigated.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::18da2430690083b08808d89c43259ce4 https://doi.org/10.1016/j.jqsrt.2004.05.028 Zobrazit plný text záznamu Full Text from ScienceDirect