NDLI: An Efficient Sequential RBF Network for Gene Expression-Based Multi-category classification

Content Provider	IEEE Xplore Digital Library
Author	Runxuan Zhang Sundararajan, N. Guang-Bin Huang Saratchandran, P.
Copyright Year	2005
Description	Author affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, E-Mail: zhangrunxuan@pmail.ntu.edu.sg (Runxuan Zhang)
Abstract	This paper presents a fast and efficient sequential learning method for RBF networks that can perform classification directly for multi-category cancer diagnosis problems based on microarray data. The recently developed algorithm, referred to as Fast Growing And Pruning-RBF (FGAP-RBF) can perform incremental learning on the future data directly. No training of all the previous data is needed. This character can reduce the learning complexity and improve the learning efficiency and is greatly favored in the real implementation of a gene expression-based cancer diagnosis system. We have evaluated FGAP-RBF algorithm on a benchmark multi-category cancer diagnosis problem based on microarray data, namely GCM dataset. The results indicate that compared with the results available in literature FGAP-RBF algorithm produces a higher classification accuracy with reduced training time and implementation complexity.
Starting Page	1
Ending Page	6
File Size	266441
Page Count	6
File Format	PDF
ISBN	0780393872
DOI	10.1109/CIBCB.2005.1594925
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-11-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radial basis function networks Neural networks Cancer Artificial neural networks Learning systems Data engineering Electronic mail Gene expression Computer networks Algorithm design and analysis
Content Type	Text
Resource Type	Article

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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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