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Numerical Analysis of Modeling Based on Improved Elman Neural Network
Joint Authors
Jie, Shao
Li, Wang
WeiSong, Zhao
YaQin, Zhong
Malekian, Reza
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
A modeling based on the improved Elman neural network (IENN) is proposed to analyze the nonlinear circuits with the memory effect.
The hidden layer neurons are activated by a group of Chebyshev orthogonal basis functions instead of sigmoid functions in this model.
The error curves of the sum of squared error (SSE) varying with the number of hidden neurons and the iteration step are studied to determine the number of the hidden layer neurons.
Simulation results of the half-bridge class-D power amplifier (CDPA) with two-tone signal and broadband signals as input have shown that the proposed behavioral modeling can reconstruct the system of CDPAs accurately and depict the memory effect of CDPAs well.
Compared with Volterra-Laguerre (VL) model, Chebyshev neural network (CNN) model, and basic Elman neural network (BENN) model, the proposed model has better performance.
American Psychological Association (APA)
Jie, Shao& Li, Wang& WeiSong, Zhao& YaQin, Zhong& Malekian, Reza. 2014. Numerical Analysis of Modeling Based on Improved Elman Neural Network. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1048999
Modern Language Association (MLA)
Jie, Shao…[et al.]. Numerical Analysis of Modeling Based on Improved Elman Neural Network. The Scientific World Journal No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1048999
American Medical Association (AMA)
Jie, Shao& Li, Wang& WeiSong, Zhao& YaQin, Zhong& Malekian, Reza. Numerical Analysis of Modeling Based on Improved Elman Neural Network. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1048999
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048999