Discrimination of Cylinders with Different Wall Thicknesses using Neural Networks and Simulated Dolphin Sonar Signals

Lars Nonboe Andersen; Whitlow Au; Jan Larsen; Lars Kai Hansen

doi:10.1109/NNSP.1999.788167

Discrimination of Cylinders with Different Wall Thicknesses using Neural Networks and Simulated Dolphin Sonar Signals

Lars Nonboe Andersen, Whitlow Au, Jan Larsen, Lars Kai Hansen

University of Hawaii

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

This paper describes a method integrating neural networks into a system for recognizing underwater objects. The system is based on a combination of simulated dolphin sonar signals, simulated auditory filters and artificial neural networks. The system is tested on a cylinder wall thickness difference experiment and demonstrates high accuracy for small wall thickness differences. Results from the experiment are compared with results obtained by a false killer whale (pseudorca crassidens).

Original language	English
Title of host publication	Proceedings of the IEEE Workshop on Neural Networks for Signal Processing IX
Place of Publication	Piscataway
Publisher	IEEE
Publication date	1999
Pages	477-486
ISBN (Print)	0-7803-5673-x
DOIs	https://doi.org/10.1109/NNSP.1999.788167
Publication status	Published - 1999
Event	1999 IEEE Workshop on Neural Networks for Signal Processing - Madison, United States Duration: 23 Aug 1999 → 25 Aug 1999 Conference number: 9 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6375

Workshop

Workshop	1999 IEEE Workshop on Neural Networks for Signal Processing
Number	9
Country/Territory	United States
City	Madison
Period	23/08/1999 → 25/08/1999
Internet address	http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6375

Bibliographical note

Copyright 1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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@inproceedings{0d379e1a4e3d4d0dbfcc2b797d4b6e72,

title = "Discrimination of Cylinders with Different Wall Thicknesses using Neural Networks and Simulated Dolphin Sonar Signals",

abstract = "This paper describes a method integrating neural networks into a system for recognizing underwater objects. The system is based on a combination of simulated dolphin sonar signals, simulated auditory filters and artificial neural networks. The system is tested on a cylinder wall thickness difference experiment and demonstrates high accuracy for small wall thickness differences. Results from the experiment are compared with results obtained by a false killer whale (pseudorca crassidens).",

author = "Andersen, {Lars Nonboe} and Whitlow Au and Jan Larsen and Hansen, {Lars Kai}",

note = "Copyright 1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.; 1999 IEEE Workshop on Neural Networks for Signal Processing, NNSP '99 ; Conference date: 23-08-1999 Through 25-08-1999",

year = "1999",

doi = "10.1109/NNSP.1999.788167",

language = "English",

isbn = "0-7803-5673-x",

pages = "477--486",

booktitle = "Proceedings of the IEEE Workshop on Neural Networks for Signal Processing IX",

publisher = "IEEE",

address = "United States",

url = "http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6375",

}

Andersen, LN, Au, W, Larsen, J & Hansen, LK 1999, Discrimination of Cylinders with Different Wall Thicknesses using Neural Networks and Simulated Dolphin Sonar Signals. in Proceedings of the IEEE Workshop on Neural Networks for Signal Processing IX. IEEE, Piscataway, pp. 477-486, 1999 IEEE Workshop on Neural Networks for Signal Processing, Madison, Wisconsin, United States, 23/08/1999. https://doi.org/10.1109/NNSP.1999.788167

Discrimination of Cylinders with Different Wall Thicknesses using Neural Networks and Simulated Dolphin Sonar Signals. / Andersen, Lars Nonboe; Au, Whitlow; Larsen, Jan et al.
Proceedings of the IEEE Workshop on Neural Networks for Signal Processing IX. Piscataway: IEEE, 1999. p. 477-486.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AU - Larsen, Jan

AU - Hansen, Lars Kai

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AB - This paper describes a method integrating neural networks into a system for recognizing underwater objects. The system is based on a combination of simulated dolphin sonar signals, simulated auditory filters and artificial neural networks. The system is tested on a cylinder wall thickness difference experiment and demonstrates high accuracy for small wall thickness differences. Results from the experiment are compared with results obtained by a false killer whale (pseudorca crassidens).

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M3 - Article in proceedings

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BT - Proceedings of the IEEE Workshop on Neural Networks for Signal Processing IX

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Y2 - 23 August 1999 through 25 August 1999

ER -

Discrimination of Cylinders with Different Wall Thicknesses using Neural Networks and Simulated Dolphin Sonar Signals

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