Classification of Sperm Whale Clicks (Physeter Macrocephalus) with Gaussian- Kernel-Based Networks
With the aim of classifying sperm whales, this report compares two methods that can use Gaussian functions, a radial basis function network, and support vector machines which were trained with two different approaches known as C-SVM and º-SVM. The methods were tested on data recordings from seven di...
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Online Access: | http://hdl.handle.net/2117/11857 https://doi.org/10.3390/a2031232 |
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ftupcatalunya:oai:upcommons.upc.edu:2117/11857 2023-05-15T17:59:23+02:00 Classification of Sperm Whale Clicks (Physeter Macrocephalus) with Gaussian- Kernel-Based Networks Van der Schaar, Mike Connor Roger Malcolm Delory, Eric André, Michel Centre Tecnològic de Vilanova i la Geltrú Universitat Politècnica de Catalunya. LAB - Laboratori d'Aplicacions Bioacústiques 2009-09-22 16 p. http://hdl.handle.net/2117/11857 https://doi.org/10.3390/a2031232 eng eng http://www.mdpi.com/1999-4893/2/3/1232/ Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/ Open Access CC-BY-NC-ND Àrees temàtiques de la UPC::Física::Acústica Àrees temàtiques de la UPC::Física::Acústica::Sonar Àrees temàtiques de la UPC::Física::Acústica::Sons subaquàtics Sperm whale Underwater acoustics--Mathematical models Catxalots -- Identificació Acústica submarina -- Models matemàtics Article 2009 ftupcatalunya https://doi.org/10.3390/a2031232 2019-09-29T08:51:31Z With the aim of classifying sperm whales, this report compares two methods that can use Gaussian functions, a radial basis function network, and support vector machines which were trained with two different approaches known as C-SVM and º-SVM. The methods were tested on data recordings from seven different male sperm whales, six containing single click trains and the seventh containing a complete dive. Both types of classifiers could distinguish between the clicks of the seven different whales, but the SVM seemed to have better generalisation towards unknown data, at the cost of needing more information and slower performance. Postprint (published version) Article in Journal/Newspaper Physeter macrocephalus Sperm whale Universitat Politècnica de Catalunya (UPC): Theses and Dissertations Online (TDX) Algorithms 2 3 1232 1247 |
institution |
Open Polar |
collection |
Universitat Politècnica de Catalunya (UPC): Theses and Dissertations Online (TDX) |
op_collection_id |
ftupcatalunya |
language |
English |
topic |
Àrees temàtiques de la UPC::Física::Acústica Àrees temàtiques de la UPC::Física::Acústica::Sonar Àrees temàtiques de la UPC::Física::Acústica::Sons subaquàtics Sperm whale Underwater acoustics--Mathematical models Catxalots -- Identificació Acústica submarina -- Models matemàtics |
spellingShingle |
Àrees temàtiques de la UPC::Física::Acústica Àrees temàtiques de la UPC::Física::Acústica::Sonar Àrees temàtiques de la UPC::Física::Acústica::Sons subaquàtics Sperm whale Underwater acoustics--Mathematical models Catxalots -- Identificació Acústica submarina -- Models matemàtics Van der Schaar, Mike Connor Roger Malcolm Delory, Eric André, Michel Classification of Sperm Whale Clicks (Physeter Macrocephalus) with Gaussian- Kernel-Based Networks |
topic_facet |
Àrees temàtiques de la UPC::Física::Acústica Àrees temàtiques de la UPC::Física::Acústica::Sonar Àrees temàtiques de la UPC::Física::Acústica::Sons subaquàtics Sperm whale Underwater acoustics--Mathematical models Catxalots -- Identificació Acústica submarina -- Models matemàtics |
description |
With the aim of classifying sperm whales, this report compares two methods that can use Gaussian functions, a radial basis function network, and support vector machines which were trained with two different approaches known as C-SVM and º-SVM. The methods were tested on data recordings from seven different male sperm whales, six containing single click trains and the seventh containing a complete dive. Both types of classifiers could distinguish between the clicks of the seven different whales, but the SVM seemed to have better generalisation towards unknown data, at the cost of needing more information and slower performance. Postprint (published version) |
author2 |
Centre Tecnològic de Vilanova i la Geltrú Universitat Politècnica de Catalunya. LAB - Laboratori d'Aplicacions Bioacústiques |
format |
Article in Journal/Newspaper |
author |
Van der Schaar, Mike Connor Roger Malcolm Delory, Eric André, Michel |
author_facet |
Van der Schaar, Mike Connor Roger Malcolm Delory, Eric André, Michel |
author_sort |
Van der Schaar, Mike Connor Roger Malcolm |
title |
Classification of Sperm Whale Clicks (Physeter Macrocephalus) with Gaussian- Kernel-Based Networks |
title_short |
Classification of Sperm Whale Clicks (Physeter Macrocephalus) with Gaussian- Kernel-Based Networks |
title_full |
Classification of Sperm Whale Clicks (Physeter Macrocephalus) with Gaussian- Kernel-Based Networks |
title_fullStr |
Classification of Sperm Whale Clicks (Physeter Macrocephalus) with Gaussian- Kernel-Based Networks |
title_full_unstemmed |
Classification of Sperm Whale Clicks (Physeter Macrocephalus) with Gaussian- Kernel-Based Networks |
title_sort |
classification of sperm whale clicks (physeter macrocephalus) with gaussian- kernel-based networks |
publishDate |
2009 |
url |
http://hdl.handle.net/2117/11857 https://doi.org/10.3390/a2031232 |
genre |
Physeter macrocephalus Sperm whale |
genre_facet |
Physeter macrocephalus Sperm whale |
op_relation |
http://www.mdpi.com/1999-4893/2/3/1232/ |
op_rights |
Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/ Open Access |
op_rightsnorm |
CC-BY-NC-ND |
op_doi |
https://doi.org/10.3390/a2031232 |
container_title |
Algorithms |
container_volume |
2 |
container_issue |
3 |
container_start_page |
1232 |
op_container_end_page |
1247 |
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1766168183379591168 |