NDLI: Rule extraction from structured neural network for pattern classification

Content Provider	IEEE Xplore Digital Library
Author	Chakraborty, B. Chakraborty, G.
Copyright Year	1999
Description	Author affiliation: Fac. of Software & Inf. Sci., Iwate Prefectural Univ., Japan (Chakraborty, B.)
Abstract	Artificial neural networks are now widely used for various pattern classification problems and possess better accuracy rates than traditional statistical classifiers. But they are often regarded as black boxes as the interpretation of their inner working is quite difficult. Researchers have been developing algorithms that extract rules from neural network models and can allow one to explain the decision process of the network. Sparse architectures and structured models are easy to analyse. In this work an algorithm for extraction of rules from an artificial neural model for solving pattern classification problems, capable of handling real life vague information expressed by linguistic variables, has been devised. A sparse structured architecture of fractally connected feedforward multilayered neural networks has been used and its efficiency in rule extraction compared to the fully connected network has been studied. The ease of rule extraction by the proposed sparse fractal network compared to full connection network has been proved by simulation with two data sets.
Starting Page	869
Ending Page	874
File Size	630271
Page Count	6
File Format	PDF
ISBN	0780357310
ISSN	1062922X
DOI	10.1109/ICSMC.1999.812523
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-10-12
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Pattern classification Data mining Artificial neural networks Fractals Feedforward neural networks Feeds Multi-layer neural network Information science Forward contracts
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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