| 000 | 00000nam 2200000zi 4500 |
| 001 | 9.927680 |
| 003 | CaOODSP |
| 005 | 20230922150500 |
| 006 | m o d f |
| 007 | cr |n||||||||| |
| 008 | 230921e199001uuabcad ob f000 0 eng d |
| 040 | |aCaOODSP|beng|erda|cCaOODSP |
| 043 | |an-cn-ab |
| 086 | 1 |aDR52-5/11-1990E-PDF |
| 100 | 1 |aYee, Eugene, |d1958- |eauthor. |
| 245 | 10|aNeural network recognition and classification of aerosol particle size distributions / |cby E. Yee and J. Ho. |
| 264 | 1|aRalston, Alberta : |bDefence Research Establishment Suffield, |cJanuary 1990. |
| 300 | |a1 online resource (12 pages, 21 unnumbered pages) : |billustrations, charts |
| 336 | |atext|btxt|2rdacontent |
| 337 | |acomputer|bc|2rdamedia |
| 338 | |aonline resource|bcr|2rdacarrier |
| 490 | 1 |aSuffield report ; |vno. 531 |
| 500 | |a"PCN No. 051SP"--title page. |
| 500 | |aDigitized edition from print [produced by Defence Research and Development Canada]. |
| 504 | |aIncludes bibliographical references (page 12). |
| 520 | 3 |a"This 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 [...] The approach offers the opportunity 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"--abstract. |
| 650 | 0|aAerosols|xMeasurement. |
| 650 | 0|aNeural networks (Computer science) |
| 650 | 0|aChemical agents (Munitions) |
| 650 | 0|aBiological weapons|xDetection. |
| 650 | 6|aAérosols|xMensurations. |
| 650 | 6|aRéseaux neuronaux (Informatique) |
| 650 | 6|aAgents chimiques (Munitions) |
| 650 | 6|aArmes biologiques|xDétection. |
| 655 | 7|aTechnical reports|2lcgft |
| 655 | 7|aRapports techniques|2rvmgf |
| 710 | 2 |aDefence Research Establishment Suffield, |eissuing body. |
| 710 | 1 |aCanada. |bDepartment of National Defence, |eissuing body. |
| 830 | #0|aSuffield report ;|vno. 531.|w(CaOODSP)9.926310 |
| 856 | 40|qPDF|s1.17 MB|uhttps://publications.gc.ca/collections/collection_2023/rddc-drdc/DR52-5-11-1990-eng.pdf |
| 986 | |aSR 531 ; |
| 986 | |aDRES-531 |