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A Novel Memristive Multilayer Feedforward Small-World Neural Network with Its Applications in PID Control
Joint Authors
Duan, Shukai
Hu, Xiaofang
Dong, Zhekang
Li, Hai
Wang, Lidan
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-14
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
In this paper, we present an implementation scheme of memristor-based multilayer feedforward small-world neural network (MFSNN) inspirited by the lack of the hardware realization of the MFSNN on account of the need of a large number of electronic neurons and synapses.
More specially, a mathematical closed-form charge-governed memristor model is presented with derivation procedures and the corresponding Simulink model is presented, which is an essential block for realizing the memristive synapse and the activation function in electronic neurons.
Furthermore, we investigate a more intelligent memristive PID controller by incorporating the proposed MFSNN into intelligent PID control based on the advantages of the memristive MFSNN on computation speed and accuracy.
Finally, numerical simulations have demonstrated the effectiveness of the proposed scheme.
American Psychological Association (APA)
Dong, Zhekang& Duan, Shukai& Hu, Xiaofang& Wang, Lidan& Li, Hai. 2014. A Novel Memristive Multilayer Feedforward Small-World Neural Network with Its Applications in PID Control. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1049450
Modern Language Association (MLA)
Dong, Zhekang…[et al.]. A Novel Memristive Multilayer Feedforward Small-World Neural Network with Its Applications in PID Control. The Scientific World Journal No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1049450
American Medical Association (AMA)
Dong, Zhekang& Duan, Shukai& Hu, Xiaofang& Wang, Lidan& Li, Hai. A Novel Memristive Multilayer Feedforward Small-World Neural Network with Its Applications in PID Control. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1049450
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049450