NDLI: Nelder-mead enhanced extreme learning machine

Content Provider	IEEE Xplore Digital Library
Author	Reiner, P. Wilamowski, B.M.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Auburn Univ., Auburn, AL, USA (Reiner, P.; Wilamowski, B.M.)
Abstract	Many algorithms such as Support Vector Regression (SVR), Incremental Extreme Learning Machine (I-ELM), Convex Incremental Extreme Learning Machine (CI-ELM), and Enhanced random search based Incremental Extreme Learning Machine (EI-ELM) are being used in current research to solve various function approximation problems. This paper presents a modification to the I-ELM family of algorithms targeted specifically at Single Layer Feedforward Networks (SLFN) using Radial Basis Function (RBF) nodes. The modification includes eliminating randomness in both the center positions of the RBF units as well as the widths of the RBF units. This is accomplished by assigning the center of each incrementally added node to the highest point in the residual error surface and using Nelder-Mead's Simplex method to iteratively select an appropriate radius for the added node. Using this technique, the properties of I-ELM that allow for universal approximation and appropriate generalization are preserved, while the sizes of the RBF networks are greatly reduced.
Starting Page	225
Ending Page	230
File Size	1013514
Page Count	6
File Format	PDF
ISBN	9781479908288
e-ISBN	9781479908301
DOI	10.1109/INES.2013.6632816
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-19
Publisher Place	Costa Rica
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Approximation algorithms Equations Mathematical model Training Function approximation Radial basis function networks Support Vector Machines Neural Networks Machine Learning RBF Networks Function Approximation Radial Basis Function
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
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7	National Digital Libarray 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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