NDLI: Recurrent wavelet networks

Content Provider	IEEE Xplore Digital Library
Author	Rao, S.S. Kumthekar, B.
Copyright Year	1994
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Villanova Univ., PA, USA (Rao, S.S.; Kumthekar, B.)
Abstract	Neural networks have been established as a general approximation tool for fitting nonlinear models for input/output data. On the other hand, the wavelet decomposition is a powerful tool for functional approximation. In this paper we improve upon the connection between these two fields. A fast supervised learning algorithm is presented. Inspired by the real time recurrent learning algorithm (RTRL) of Williams and Zipser (1989), the algorithm learns more rapidly than typical implementation of backpropagation, while achieving improved generalization. Furthermore, unlike most traditional functional approximators, the algorithm is well suited for use in real time adaptive signal processing. As an illustration the algorithm is applied to the prediction of a chaotic time series and identification of a complex nonlinear dynamic system.
Starting Page	3143
Ending Page	3147
File Size	387519
Page Count	5
File Format	PDF
ISBN	078031901X
DOI	10.1109/ICNN.1994.374736
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-06-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal processing algorithms Backpropagation algorithms Neural networks Function approximation Surface fitting Adaptive signal processing Curve fitting Multi-layer neural network Neurons Feedforward neural networks
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Mr. Siddhartha Mukherjee siddhartha@ndl.gov.in
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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