Neuro-fuzzy classification of the rhagoletis pomonella species group using digitized wing structures

Chengpeng Bi, Michael Craig Saunders, Bruce A. McPheron

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this paper, we applied a neuro-fuzzy system to classify the morphologically indistinguishable Rhagoletis pomonella sibling species group. A carefully selected set of wing structure and shape variables were fuzzified using triangular membership functions. The neuro-fuzzy system NEFCLASS was applied to train the fly morphological datasets and a set of fuzzy rules were constructed. A fuzzy inference engine was constructed using the fuzzy rule bases. Furthermore, manually pruned fuzzy rules were employed to make a fuzzy key to classify this sibling species group.

Original languageEnglish (US)
Title of host publication2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08
Pages159-165
Number of pages7
DOIs
Publication statusPublished - Dec 1 2008
Event2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08 - Sun Valley, ID, United States
Duration: Sep 15 2008Sep 17 2008

Publication series

Name2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08

Other

Other2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08
CountryUnited States
CitySun Valley, ID
Period9/15/089/17/08

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Biomedical Engineering
  • Health Informatics

Cite this

Bi, C., Saunders, M. C., & McPheron, B. A. (2008). Neuro-fuzzy classification of the rhagoletis pomonella species group using digitized wing structures. In 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08 (pp. 159-165). [4675773] (2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08). https://doi.org/10.1109/CIBCB.2008.4675773