NDLI: A hybrid neural network classifier of short duration acoustic signals

Content Provider	IEEE Xplore Digital Library
Author	Beck, S. Deuser, L. Still, R. Whiteley, J.
Copyright Year	1991
Description	Author affiliation: Tracor Applied Sci. Inc., Austin, TX, USA (Beck, S.; Deuser, L.; Still, R.; Whiteley, J.)
Abstract	Discusses the development of a hybrid classifier of SDSs (short duration signals) in the underwater acoustic environment. The classifier is envisioned to include both neural-based and non-neural networks. The authors present a comparison of performance of two neural-based and two non-neural-based classifiers for four signal extractors. It was found that for DARPA Data Set I, no single classifier is superior to the others; however, a hybrid set of classifiers yields the best performance. The neural network classifiers are based on RBFs (radial basis functions) and the MLP (multilayer perceptron) trained with backpropagation. The classical classification techniques of k-nearest neighbor and the Fisher linear discriminant are used for comparison. The signal extraction methods used include two versions of wavelets, autoregressive spectral coefficients and a linear combination of a wavelet with an autoregressive representation.
Starting Page	119
Ending Page	124
File Size	296774
Page Count	6
File Format	PDF
ISBN	0780301641
DOI	10.1109/IJCNN.1991.155161
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1991-07-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Underwater acoustics Contracts Multi-layer neural network Data mining Backpropagation Nearest neighbor searches Training data Error analysis Covariance matrix
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@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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