NDLI: Comparison between real-time learning capabilities of the IDS method and Radial Basis Function Networks

Content Provider	IEEE Xplore Digital Library
Author	Murakami, M. Honda, N.
Copyright Year	2007
Description	Author affiliation: Univ. of Electro-Commun., Tokyo (Murakami, M.; Honda, N.)
Abstract	The ink drop spread (IDS) method is a modeling technique developed by algorithmically mimicking the information-handling processes of the human brain, and it has been proposed as a new soft computing paradigm. This study investigates the real-time performance of the IDS method. Radial basis function networks (RBFNs) are artificial neural networks that are characterized by the speed of learning. This study compares the real-time learning capability of the IDS method with that of RBFNs. In the approximation of five different functions used as a benchmark, the IDS method exhibits stable and fast convergence in terms of the learning time and the number of training examples used. This study also presents an effective approach to enhance the real-time performance of the IDS method.
Starting Page	1262
Ending Page	1267
File Size	383800
Page Count	6
File Format	PDF
ISBN	9781424409907
DOI	10.1109/ICSMC.2007.4413837
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-07
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intrusion detection Radial basis function networks Artificial neural networks Parallel processing Fault tolerance Training data Ink Brain modeling Humans Computer networks
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