Towards Utilization of Neurofuzzy Systems for Taxonomic Identification Using Psittacines as a Case Study
2016 ◽
Vol 2016
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pp. 1-12
Demonstration of the neurofuzzy application to the task of psittacine (parrot) taxonomic identification is presented in this paper. In this work, NEFCLASS-J neurofuzzy system is utilized for classification of parrot data for 141 and 183 groupings, using 68 feature points or qualities. The reported results display classification accuracies of above 95%, which is strongly tied to the setting of certain parameters of the neurofuzzy system. Rule base sizes were in the range of 1,750 to 1,950 rules.
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2013 ◽
Vol 66
(4)
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pp. 398-407
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2015 ◽
Vol 40
(1)
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pp. 37-45
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Keyword(s):
2004 ◽
Vol 84
(1)
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pp. 171-178
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2018 ◽
Vol 66
◽
pp. 93-105
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