NDLI: A Case-based Reasoning with Feature Weights Derived by BP Network

Content Provider	IEEE Xplore Digital Library
Author	Yan Peng Like Zhuang
Copyright Year	2007
Description	Author affiliation: Capital Normal Univ., Beijing (Yan Peng)
Abstract	Case-based reasoning (CBR) is a methodology for problem solving and decision-making in complex and changing environments. This study investigates the performance of a hybrid case-based reasoning method that integrates a multi-layer BP neural network with case-based reasoning (CBR) algorithms for derivatives feature weights. This approach is applied to fault detection and diagnosis (FDD) system involves the examination of several criteria. The correct identification of the underlying mechanism of a fault is an important step in the entire fault analysis process. The trained BP neural network provides the basis to obtain attribute weights, whereas CBR serves as a classifier to identify the fault mechanism. Different parameters of the hybrid methods were varied to study their effect. The results indicate that better performance could be achieved by the proposed hybrid method than that using conventional CBR alone.
Starting Page	26
Ending Page	29
File Size	258779
Page Count	4
File Format	PDF
ISBN	9780769530635
DOI	10.1109/IITA.2007.98
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Intelligent networks Fault detection Neural networks Artificial neural networks Educational institutions Problem-solving Application software Artificial intelligence Information technology
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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