NDLI: Hidden node activation differential-a new neural network relevancy criteria

Content Provider	IEEE Xplore Digital Library
Author	Hiang, P.C.K. Erdogan, S.S. Ng Geok-See
Copyright Year	1997
Description	Author affiliation: Inst. of Syst. Sci., Nat. Univ. of Singapore, Singapore (Hiang, P.C.K.)
Abstract	Neural networks have been used in many problems such as character recognition, time series forecasting and image coding. The generalisation of the network depends on its internal structure. Network parameters should be set correctly so that data outside the class will not be overfitted. One mechanism to achieve an optimal neural network structure is to identify the essential components (hidden nodes) and to prune off the irrelevant ones. Most of the proposed criteria used for pruning are expensive to compute and impractical to use for large networks and large training samples. In this paper, a new relevancy criteria is proposed and three existing criteria are investigated. The properties of the proposed criteria are covered in detail and their similarities to existing criteria are illustrated.
Starting Page	274
Ending Page	281
File Size	792654
Page Count	8
File Format	PDF
ISBN	0780337557
DOI	10.1109/KES.1997.616920
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-05-21
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Biological neural networks Computer networks Error probability Character recognition Technology forecasting Image coding Sensitivity analysis Neurons Artificial neural networks
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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