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  3. Airborne Particle Classification with a Combination of Chemical Composition and Shape Index Utilizing an Adaptive Resonance Artificial Neural Network
  1. Home
  2. Publications
  3. Airborne Particle Classification with a Combination of Chemical Composition and Shape Index Utilizing an Adaptive Resonance Artificial Neural Network

Airborne Particle Classification with a Combination of Chemical Composition and Shape Index Utilizing an Adaptive Resonance Artificial Neural Network

Authors:
  • YXYing. Xie
    Ying. Xie
  • PHPhilip K. Hopke
    Philip K. Hopke
  • DWDietrich. Wienke
    Dietrich. Wienke

Publisher website
Google Scholar
  • 1 October 1994
    • journal article
    • research article
    • Published by American Chemical Society (ACS) in Environmental Science & Technology
    • Vol. 28  (11) , 1921-1928
    • DOI:10.1021/es00060a024
    • PMID:22175934
Abstract
No abstract available
Keywords
  • NEURAL NETWORK
  • PARTICLE CLASSIFICATION
  • CHEMICAL COMPOSITION
  • SHAPE INDEX
  • INDEX UTILIZING
  • ADAPTIVE RESONANCE
  • RESONANCE ARTIFICIAL
  • ARTIFICIAL NEURAL
  • AIRBORNE PARTICLE
  • STRONG
Cited by 40 articles
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