Detection and Classification of Organophosphate Nerve Agent Simulants Using Support Vector Machines with Multiarray Sensors

@article{Sadik2004DetectionAC,
  title={Detection and Classification of Organophosphate Nerve Agent Simulants Using Support Vector Machines with Multiarray Sensors},
  author={O. Sadik and W. Land and A. Wanekaya and M. Uematsu and M. Embrechts and L. Wong and Dale Leibensperger and Alex Volykin},
  journal={Journal of chemical information and computer sciences},
  year={2004},
  volume={44 2},
  pages={
          499-507
        }
}
  • O. Sadik, W. Land, +5 authors Alex Volykin
  • Published 2004
  • Computer Science, Mathematics, Medicine
  • Journal of chemical information and computer sciences
  • The need for rapid and accurate detection systems is expanding and the utilization of cross-reactive sensor arrays to detect chemical warfare agents in conjunction with novel computational techniques may prove to be a potential solution to this challenge. We have investigated the detection, prediction, and classification of various organophosphate (OP) nerve agent simulants using sensor arrays with a novel learning scheme known as support vector machines (SVMs). The OPs tested include parathion… CONTINUE READING

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