NDLI: Antenna recognition based on BP neural network

Content Provider	IEEE Xplore Digital Library
Author	Chunyan Zhao Dan Shi Yougang Gao
Copyright Year	2012
Description	Author affiliation: School of Electronic Engineering, Beijing University of Posts and Telecommunications, 100876, China (Chunyan Zhao; Dan Shi; Yougang Gao)
Abstract	This paper studies several commonly used algorithms in the BP neural network. Training the BP neural network under these different algorithms can see the various performance of their networks. The study of both classical BP algorithm and LM algorithm will find the improvements of LM algorithm. In addition, practical applications show the following two things. For one hand, different BP algorithm impacts the speed of the network. For the other, the number of hidden layer neurons is also a sensitive factor to the performance of BP neural network. On the basis of the BP neural network, we want to build a suitable antenna model and use it in the identification of the antennas, it will have great practical significance.
Starting Page	355
Ending Page	359
File Size	2257529
Page Count	5
File Format	PDF
ISBN	9781467300308
e-ISBN	9781467300292
DOI	10.1109/CEEM.2012.6410642
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological neural networks Training Algorithm design and analysis Neurons Microwave antennas Standards LM algorithm BP neural network hidden layer nodes classic BP algorithm
Content Type	Text
Resource Type	Article

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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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