NDLI: A modified radial basis function network for system identification

Content Provider	IEEE Xplore Digital Library
Author	Bass, E. Lee, K.Y.
Copyright Year	1994
Description	Author affiliation: Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA (Bass, E.; Lee, K.Y.)
Abstract	Feedforward neural networks have demonstrated an ability to learn arbitrary nonlinear mappings. Knowledge of such mappings can be of use in the identification and control of unknown or nonlinear systems. One such network, the Gaussian radial basis function (RBF) network has received a great deal of attention. Such networks, however, grow exponentially in size with the number of inputs. Several modifications to the standard RBF network are presented. A new network, the modified radial basis function (MRBF) network, which has far fewer adjustable parameters than its existing counterparts is proposed. The addition of recurrent weights to the MRBF network allows the network to learn dynamic mappings. Additionally, a new training algorithm based on gradient descent is developed for all of the parameters of the MRBF network. Simulations were performed which showed the new MRBF network was able to learn nonlinear systems as well as the standard RBF.
Starting Page	352
Ending Page	357
File Size	508229
Page Count	6
File Format	PDF
ISBN	0780319907
ISSN	21589860
DOI	10.1109/ISIC.1994.367792
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-08-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radial basis function networks System identification Biological neural networks Neural networks Artificial neural networks Nonlinear control systems Control systems Multi-layer neural network Feedforward neural networks Nonlinear systems
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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