Discrimination Of Cylinders With Different Wall Thicknesses Using Neural Networks And Simulated Dolphin Sonar Signals
. 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 lters and articial neural networks. The system is tested on a cylinder wall thickness dierence exp...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.20.9994 2023-05-15T17:03:29+02:00 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 The Pennsylvania State University CiteSeerX Archives 1999 application/postscript http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.9994 http://eivind.imm.dtu.dk/publications/1999/nonboe.nnsp99.ps.gz en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.9994 http://eivind.imm.dtu.dk/publications/1999/nonboe.nnsp99.ps.gz Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://eivind.imm.dtu.dk/publications/1999/nonboe.nnsp99.ps.gz text 1999 ftciteseerx 2016-01-07T17:22:52Z . 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 lters and articial neural networks. The system is tested on a cylinder wall thickness dierence experiment and demonstrates high accuracy for small wall thickness dierences. Results from the experiment are compared with results obtained by a false killer whale (pseudorca crassidens). Text Killer Whale Unknown |
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ftciteseerx |
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English |
description |
. 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 lters and articial neural networks. The system is tested on a cylinder wall thickness dierence experiment and demonstrates high accuracy for small wall thickness dierences. Results from the experiment are compared with results obtained by a false killer whale (pseudorca crassidens). |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Lars Nonboe Andersen Whitlow Au Jan Larsen Lars Kai Hansen |
spellingShingle |
Lars Nonboe Andersen Whitlow Au Jan Larsen Lars Kai Hansen Discrimination Of Cylinders With Different Wall Thicknesses Using Neural Networks And Simulated Dolphin Sonar Signals |
author_facet |
Lars Nonboe Andersen Whitlow Au Jan Larsen Lars Kai Hansen |
author_sort |
Lars Nonboe Andersen |
title |
Discrimination Of Cylinders With Different Wall Thicknesses Using Neural Networks And Simulated Dolphin Sonar Signals |
title_short |
Discrimination Of Cylinders With Different Wall Thicknesses Using Neural Networks And Simulated Dolphin Sonar Signals |
title_full |
Discrimination Of Cylinders With Different Wall Thicknesses Using Neural Networks And Simulated Dolphin Sonar Signals |
title_fullStr |
Discrimination Of Cylinders With Different Wall Thicknesses Using Neural Networks And Simulated Dolphin Sonar Signals |
title_full_unstemmed |
Discrimination Of Cylinders With Different Wall Thicknesses Using Neural Networks And Simulated Dolphin Sonar Signals |
title_sort |
discrimination of cylinders with different wall thicknesses using neural networks and simulated dolphin sonar signals |
publishDate |
1999 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.9994 http://eivind.imm.dtu.dk/publications/1999/nonboe.nnsp99.ps.gz |
genre |
Killer Whale |
genre_facet |
Killer Whale |
op_source |
http://eivind.imm.dtu.dk/publications/1999/nonboe.nnsp99.ps.gz |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.9994 http://eivind.imm.dtu.dk/publications/1999/nonboe.nnsp99.ps.gz |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
_version_ |
1766057361403805696 |