Towards Utilization of Neurofuzzy Systems for Taxonomic Identification Using Psittacines as a Case Study
Joint Authors
Gupta, B.
Rahimi, S.
Spiess, Cynthia R.
Sahebkar, Elham
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-21
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Rahimi, S.& Spiess, Cynthia R.& Gupta, B.& Sahebkar, Elham. 2016. Towards Utilization of Neurofuzzy Systems for Taxonomic Identification Using Psittacines as a Case Study. Applied Computational Intelligence and Soft Computing،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1094911
Modern Language Association (MLA)
Rahimi, S.…[et al.]. Towards Utilization of Neurofuzzy Systems for Taxonomic Identification Using Psittacines as a Case Study. Applied Computational Intelligence and Soft Computing No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1094911
American Medical Association (AMA)
Rahimi, S.& Spiess, Cynthia R.& Gupta, B.& Sahebkar, Elham. Towards Utilization of Neurofuzzy Systems for Taxonomic Identification Using Psittacines as a Case Study. Applied Computational Intelligence and Soft Computing. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1094911
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1094911