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Analyzing Livestock Farm Odour Using a Neuro-fuzzy Approach

  • Leilei Pan
  • Simon X. Yang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4114)

Abstract

An adaptive neuro-fuzzy based method for analyzing odour generation factors to the perception of livestock farm odour was proposed. In this approach, the parameters associated with a given membership function could be tuned so as to tailor the membership functions to the input/output data in order to account for these types of variations in the data values. A multi-factor livestock farm odour model was developed, and both numeric factors and linguistic factors were considered. The proposed method was tested with a livestock farm odour database. The results demonstrated the effectiveness of the proposed approach in comparison to a typical neural network.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Leilei Pan
    • 1
  • Simon X. Yang
    • 1
  1. 1.School of Engineering, University of Guelph, Guelph, ON N1G 2W1Canada

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