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Fuzzy Counter Propagation Neural Network Control for a Class of Nonlinear Dynamical Systems
Joint Authors
Sakhre, Vandana
Jain, Sanjeev
Sapkal, Vilas S.
Agarwal, Dev P.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-20
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Fuzzy Counter Propagation Neural Network (FCPN) controller design is developed, for a class of nonlinear dynamical systems.
In this process, the weight connecting between the instar and outstar, that is, input-hidden and hidden-output layer, respectively, is adjusted by using Fuzzy Competitive Learning (FCL).
FCL paradigm adopts the principle of learning, which is used to calculate Best Matched Node (BMN) which is proposed.
This strategy offers a robust control of nonlinear dynamical systems.
FCPN is compared with the existing network like Dynamic Network (DN) and Back Propagation Network (BPN) on the basis of Mean Absolute Error (MAE), Mean Square Error (MSE), Best Fit Rate (BFR), and so forth.
It envisages that the proposed FCPN gives better results than DN and BPN.
The effectiveness of the proposed FCPN algorithms is demonstrated through simulations of four nonlinear dynamical systems and multiple input and single output (MISO) and a single input and single output (SISO) gas furnace Box-Jenkins time series data.
American Psychological Association (APA)
Sakhre, Vandana& Jain, Sanjeev& Sapkal, Vilas S.& Agarwal, Dev P.. 2015. Fuzzy Counter Propagation Neural Network Control for a Class of Nonlinear Dynamical Systems. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1057743
Modern Language Association (MLA)
Sakhre, Vandana…[et al.]. Fuzzy Counter Propagation Neural Network Control for a Class of Nonlinear Dynamical Systems. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1057743
American Medical Association (AMA)
Sakhre, Vandana& Jain, Sanjeev& Sapkal, Vilas S.& Agarwal, Dev P.. Fuzzy Counter Propagation Neural Network Control for a Class of Nonlinear Dynamical Systems. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1057743
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057743