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Antonie van Leeuwenhoek

, Volume 63, Issue 1, pp 35–38 | Cite as

The use of neural networks to aid in microorganism identification: a case study ofHaemophilus species identification

  • Max J. Kennedy
  • M. S. Thakur
Article

Abstract

Neural networks were evaluated as a tool for identifying microorganisms. Data from a microorganism identification table were used to train a neural network. Based on the results of identification tests the neural network could correctly identify eachHaemophilus species from a group of 13Haemophilus species.

Key words

Haemophilus identification neural network 

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References

  1. Bhagat P (1990) An introduction to neural nets. Chemical engineering progress. 86(8): 55–60Google Scholar
  2. Cowan ST (1974) Manual for the Identification of Medical Bacteria. Cambridge University Press, CambridgeGoogle Scholar
  3. Nelson MM & Illingworth WT (1991) A Practical Guide to Neural nets. Addison-Wesley Publishing Company Inc., Reading, MassachusettsGoogle Scholar
  4. Sneath PHA, Mair NS, Sharpe ME & Holt JG (1986) Bergey's Manual of Systematic Bacteriology. Williams and Wilkins, BaltimoreGoogle Scholar

Copyright information

© Kluwer Academic Publishers 1993

Authors and Affiliations

  • Max J. Kennedy
    • 1
  • M. S. Thakur
    • 2
  1. 1.Industrial Research LtdLower Hutt
  2. 2.Fermentation Technology and Bioengineering DisciplineCentral Food Technological Research InstituteMysore

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