NDLI: On structural adaptability of neural networks in character recognition

Content Provider	IEEE Xplore Digital Library
Author	Ramirez, J.M. Gomez-Gil, P. Baez-Lopez, D.
Copyright Year	1996
Description	Author affiliation: Dept. of Electr. Eng., Univ. de las Americas, Cholula Puebla, Mexico (Ramirez, J.M.)
Abstract	Neural network models have been extensively used in the field of pattern recognition. Their ability to learn, their capability to self organize, and their efficient hardware implementation, make them suitable to offer solutions to several problems in signal processing and pattern recognition. However, there are still some major limitations on the capability of current neural network models, and one of them is the structure constraint. Most artificial neural network models can only change the interconnection weights while its structure remains fixed. T. C. Lee (1991) proposed a theoretical framework to explore structure level adaptability of a neural network. In this paper, a character recognition exercise is presented, with the set of printed alphabetic characters for the test. A modified structure level adaptation scheme with an accelerated back propagation algorithm used during the training stage, has been implemented with good results. Considerations on the error convergence behavior, and some other results are presented.
Starting Page	1481
Ending Page	1483
File Size	342259
Page Count	3
File Format	PDF
ISBN	0780329120
DOI	10.1109/ICSIGP.1996.571151
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-10-18
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Artificial neural networks Pattern recognition Hardware Signal processing Character recognition Testing Acceleration Signal processing algorithms Convergence
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
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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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