An adaptive resonance theory based artificial neural network (ART-2a) for rapid identification of airborne particle shapes from their scanning electron microscopy images-Reference-Cited by-同舟云学术

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An adaptive resonance theory based artificial neural network (ART-2a) for rapid identification of airborne particle shapes from their scanning electron microscopy images

Published:1994-11 Issue:2 Volume:25 Page:367-387
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Wienke Dietrich,Xie Ying,Hopke Philip K.

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference35 articles.

1. Specification of the ruggedness and/or texture of a fine particle profile by its fractal dimension;Kaye;Powder Technology,1978

2. The use of the fractal dimension to quantify the morphology of irregular-shaped particles;Orford;Sedimentology,1983

3. Surface geometric irregularity of particulate materials: The fractal approch;Avnir;Journal of Colloid and Interface Science,1984

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