NDLI: Neural network ensemble with combination weights adaptive modulation

Content Provider	IEEE Xplore Digital Library
Author	Qinghua Wang Youyun Zhang Junyan Yang
Copyright Year	2008
Description	Author affiliation: Key Lab. of Educ. Minist. for Modern Design & Rotor-Bearing Syst., Xi'an Jiaotong Univ., Xi'an (Qinghua Wang; Youyun Zhang; Junyan Yang)
Abstract	There exist numerous schemes and methods to construct neural network ensembles. The most common aggregation strategy in ensemble learning is the simple average. Furthermore, we might expect that an improvement can be achieved if there is a method by which we may weigh the individual members in the ensemble according to their individual performance during training stage. The idea behind this is to present an architecture that tries to approach this target. In this paper, a new training algorithm that utilizes a feedback mechanism to iteratively improve the classification capability of the ensemble is presented. This algorithm is called combination weights adaptive modulating (CWAM) algorithm. By CWAM, all the individual networks in the ensemble are trained simultaneously and interactively through the evolving combination weights. To evaluate the performance of CWAM, five well-known classification problems were used. Experimental studies have been carried out to show that the generalization ability of CWAM is much better than that of other neural network ensembles in almost all cases.
Starting Page	785
Ending Page	789
File Size	439564
Page Count	5
File Format	PDF
ISBN	9781424417179
DOI	10.1109/ICIEA.2008.4582622
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-03
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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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