Neural network recognition and classification of aerosol particle distributions measured with a two-spot laser velocimeter
- Defence Research Establishment Suffield, Chemical Biological Defence Section, Box 4000, Medicine Hat, Alberta T1A 8K6 (Canada)
This paper describes the use of a neural computational network model for 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. The training of the neural network was accomplished with the back-propagation learning algorithm. The effects of the number of processing units in the hidden layer and the level of noise corrupting the training set, the test set, and the connection weights on the learning rate and classification efficiency of the neural network are studied. The ability of the trained network to generalize from the finite number of size distributions in the training set to unknown size distributions obtained from uncertain and unfamiliar environments is investigated. The approach offers the opportuniy of recognizing, classifying, and characterizing aerosol particles in real time according to their aerodynamic particle size spectrum and its high recognition accuracy shows considerable promise for applications to rapid real-time air monitoring in the areas of occupational health and air pollution standards.
- OSTI ID:
- 6516466
- Journal Information:
- Applied Optics; (USA), Vol. 29:19; ISSN 0003-6935
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
54 ENVIRONMENTAL SCIENCES
AEROSOLS
AIR POLLUTION MONITORING
PARTICLE SIZE
AIR QUALITY
MONITORING
ALGORITHMS
BACTERIA
CLASSIFICATION
HEALTH HAZARDS
NEURAL NETWORKS
PARTICULATES
PATTERN RECOGNITION
REAL TIME SYSTEMS
SAFETY
VELOCIMETERS
COLLOIDS
DISPERSIONS
ENVIRONMENTAL QUALITY
HAZARDS
MATHEMATICAL LOGIC
MEASURING INSTRUMENTS
MICROORGANISMS
PARTICLES
SIZE
SOLS
560400* - Other Environmental Pollutant Effects
540110