NEURAL NETWORK RECOGNITION AND CLASSIFICATION OF AEROSOL PARTICLE SIZE DISTRIBUTIONS

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Authors
  1. Yee, E.
  2. Ho, J.
Corporate Authors
Defence Research Establishment Suffield, Ralston ALTA (CAN)
Abstract
The paper describes the application of a neural computational network model to the pattern recognition and classification of aerodynamic particle size distributions associated with a number of environmental, bacterial, and artificial aerosols. The aerodynamic particle size distributions are measured in real-time with high resolution using a two-spot He-Ne laser velocimeter. The technique employed here for the recognition and classification of aerosols of unknown origin is based on a three-layered neural network that has been trained on a training set consisting of 75 particle size distributions obtained from three distinct types of aerosols. TRUNCATED
Report Number
DRES-531 — Final Report
Date of publication
15 Jan 1990
Number of Pages
40
DSTKIM No
90-02289
CANDIS No
64553
Format(s):
Hardcopy;Originator's fiche received by DSIS;Document Image stored on Optical Disk

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