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