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      <marc:subfield code="a">Yee, Eugene, </marc:subfield>
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    <marc:datafield tag="245" ind1="1" ind2="0">
      <marc:subfield code="a">Neural network recognition and classification of aerosol particle size distributions / </marc:subfield>
      <marc:subfield code="c">by E. Yee and J. Ho. </marc:subfield>
    </marc:datafield>
    <marc:datafield tag="264" ind1=" " ind2="1">
      <marc:subfield code="a">Ralston, Alberta : </marc:subfield>
      <marc:subfield code="b">Defence Research Establishment Suffield, </marc:subfield>
      <marc:subfield code="c">January 1990.</marc:subfield>
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      <marc:subfield code="a">Suffield report ; </marc:subfield>
      <marc:subfield code="v">no. 531</marc:subfield>
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    <marc:datafield tag="500" ind1=" " ind2=" ">
      <marc:subfield code="a">"PCN No. 051SP"--title page.</marc:subfield>
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    <marc:datafield tag="500" ind1=" " ind2=" ">
      <marc:subfield code="a">Digitized edition from print [produced by Defence Research and Development Canada].</marc:subfield>
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      <marc:subfield code="a">Includes bibliographical references (page 12).</marc:subfield>
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    <marc:datafield tag="520" ind1="3" ind2=" ">
      <marc:subfield code="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.</marc:subfield>
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      <marc:subfield code="a">Aerosols</marc:subfield>
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      <marc:subfield code="a">Neural networks (Computer science)</marc:subfield>
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      <marc:subfield code="a">Chemical agents (Munitions)</marc:subfield>
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      <marc:subfield code="a">Biological weapons</marc:subfield>
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      <marc:subfield code="a">Aérosols</marc:subfield>
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      <marc:subfield code="a">Réseaux neuronaux (Informatique)</marc:subfield>
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      <marc:subfield code="a">Agents chimiques (Munitions)</marc:subfield>
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      <marc:subfield code="a">Armes biologiques</marc:subfield>
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      <marc:subfield code="a">Defence Research Establishment Suffield, </marc:subfield>
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      <marc:subfield code="a">Canada. </marc:subfield>
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      <marc:subfield code="a">Suffield report ;</marc:subfield>
      <marc:subfield code="v">no. 531.</marc:subfield>
      <marc:subfield code="w">(CaOODSP)9.926310</marc:subfield>
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      <marc:subfield code="u">https://publications.gc.ca/collections/collection_2023/rddc-drdc/DR52-5-11-1990-eng.pdf</marc:subfield>
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      <marc:subfield code="a">SR 531 ; </marc:subfield>
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      <marc:subfield code="a">DRES-531</marc:subfield>
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