NDLI: Novel supervised fuzzy adaptive resonance theory (SF-ART) neural network for pattern recognition

Content Provider	IEEE Xplore Digital Library
Author	Akhbardeh, A. Varri, A.
Copyright Year	2005
Description	Author affiliation: Inst. of Signal Process., Tampere Univ. of Technol., Finland (Akhbardeh, A.; Varri, A.)
Abstract	This paper introduces a novel two-stage artificial neural network so-called supervised fuzzy adaptive resonance theory (SF-ART) which is utilized for training as well as for recall. First stage, pre-classification level, includes an unsupervised neural network called fuzzy adaptive resonance theory (K-ART) to roughly classify input data to M classes. M is variable and it depends to input features scattering and learning parameters of F-ART. The second stage, post (affine)-classification level, only includes an array with M cells called affine look-up table (ALT), By representing input data to the F-ART (first stage), one of F-ART output neurons are wined. The index of this wined output is used as reference address to call and upload output desired value in the related cell of ALT in training mode (supervised learning), or to recall and introduce its value as the final decision (wined class) in testing mode. The SF-ART is evaluated and compared with existing supervised neural networks on a variety of some well-known pattern classification problems.
Starting Page	149
Ending Page	154
File Size	1167193
Page Count	6
File Format	PDF
ISBN	078039030X
e-ISBN	0780390318
DOI	10.1109/WISP.2005.1531649
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-01
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive systems Neural networks Neurons Supervised learning Artificial neural networks Fuzzy neural networks Resonance Pattern recognition Scattering parameters Table lookup
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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