NDLI: Huber optimization of neural networks: a robust training method [microwave modeling]

Content Provider	IEEE Xplore Digital Library
Author	Xi, C. Wang, F. Devabhaktuni, V.K. Qi-Jun Zhang
Copyright Year	1999
Description	Author affiliation: Dept. of Electron., Carleton Univ., Ottawa, Ont., Canada (Xi, C.)
Abstract	Neural networks as an emerging modeling technique have gained much attention in the microwave area. Due to the convergence difficulty of simulators or equipment limits where parameters are sampled at extremes, the simulated or measured training data often have both gross errors and small errors. A new training method is presented in this paper which incorporates the Huber concept into a quasi-Newton method. The proposed method can recognize the gross errors and small errors and treat them differently. Therefore this Huber training method is much more robust than traditional least-square l/sub 2/ methods, which is demonstrated through two examples, modeling of a quadratic function and transmission lines.
Starting Page	1639
Ending Page	1642
File Size	356873
Page Count	4
File Format	PDF
ISBN	0780355296
ISSN	10987576
DOI	10.1109/IJCNN.1999.832618
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-07-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimization methods Neural networks Robustness Microwave devices Training data Microwave theory and techniques Convergence Physics Computational modeling Frequency measurement
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
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	Mr. Siddhartha Mukherjee siddhartha@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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