High-speed Airborne Particle Monitoring Using Artiicial Neural Networks
نویسندگان
چکیده
Current environmental monitoring systems assume particles to be spherical, and do not attempt to classify them. A laser-based system developed at the University of Hertfordshire aims at classifying airborne particles through the generation of two-dimensional scattering prooles. The performances of template matching, and two types of neural network (HyperNet and semi-linear units) are compared for image classiication. The neural network approach is shown to be capable of comparable recognition performance, while ooering a number of advantages over template matching.
منابع مشابه
High-Speed Airborne Particle Monitoring Using Artificial Neural Networks
Current environmental monitoring systems assume particles to be spherical, and do not attempt to classify them. A laser-based system developed at the University of Hertfordshire aims at classifying airborne particles through the generation of two-dimensional scattering profiles. The pedormances of template matching, and two types of neural network (HyperNet and semi-linear units) are compared f...
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تاریخ انتشار 1994