Memristive Chebyshev Neural Network and Its Applications in Function Approximation
Joint Authors
Duan, Shukai
Duan, Meitao
Wang, Lidan
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-02
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
A novel Chebyshev neural network combined with memristors is proposed to perform the function approximation.
The relationship between memristive conductance and weight update is derived, and the model of a single-input memristive Chebyshev neural network is established.
Corresponding BP algorithm and deriving algorithm are introduced to the memristive Chebyshev neural networks.
Their advantages include less model complexity, easy convergence of the algorithm, and easy circuit implementation.
Through the MATLAB simulation results, we verify the feasibility and effectiveness of the memristive Chebyshev neural networks.
American Psychological Association (APA)
Wang, Lidan& Duan, Meitao& Duan, Shukai. 2013. Memristive Chebyshev Neural Network and Its Applications in Function Approximation. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1031891
Modern Language Association (MLA)
Wang, Lidan…[et al.]. Memristive Chebyshev Neural Network and Its Applications in Function Approximation. Mathematical Problems in Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1031891
American Medical Association (AMA)
Wang, Lidan& Duan, Meitao& Duan, Shukai. Memristive Chebyshev Neural Network and Its Applications in Function Approximation. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1031891
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031891