dc.creator | Gutiérrez Galán, Daniel | es |
dc.creator | Domínguez Morales, Juan Pedro | es |
dc.creator | Tapiador Morales, Ricardo | es |
dc.creator | Ríos Navarro, José Antonio | es |
dc.creator | Domínguez Morales, Manuel Jesús | es |
dc.creator | Jiménez Fernández, Ángel Francisco | es |
dc.creator | Linares Barranco, Alejandro | es |
dc.date.accessioned | 2020-01-22T09:06:38Z | |
dc.date.available | 2020-01-22T09:06:38Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Gutiérrez Galán, D., Domínguez Morales, J.P., Tapiador Morales, R., Rios Navarro, A., Domínguez Morales, M.J., Jiménez Fernández, Á.F. y Linares Barranco, A. (2017). Accuracy Improvement of Neural Networks Through Self-Organizing-Maps over Training Datasets. En IWANN 2017: 14th International Work-Conference on Artificial Neural Networks (520-531), Cadiz, España: Springer. | |
dc.identifier.isbn | 978-3-319-59152-0 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/92074 | |
dc.description.abstract | Although it is not a novel topic, pattern recognition has
become very popular and relevant in the last years. Different classification
systems like neural networks, support vector machines or even
complex statistical methods have been used for this purpose. Several
works have used these systems to classify animal behavior, mainly in an
offline way. Their main problem is usually the data pre-processing step,
because the better input data are, the higher may be the accuracy of the
classification system. In previous papers by the authors an embedded
implementation of a neural network was deployed on a portable device
that was placed on animals. This approach allows the classification to
be done online and in real time. This is one of the aims of the research
project MINERVA, which is focused on monitoring wildlife in Do˜nana
National Park using low power devices. Many difficulties were faced when
pre-processing methods quality needed to be evaluated. In this work, a
novel pre-processing evaluation system based on self-organizing maps
(SOM) to measure the quality of the neural network training dataset is
presented. The paper is focused on a three different horse gaits classification
study. Preliminary results show that a better SOM output map
matches with the embedded ANN classification hit improvement. | es |
dc.description.sponsorship | Junta de Andalucía P12-TIC-1300 | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TEC2016-77785-P | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | IWANN 2017: 14th International Work-Conference on Artificial Neural Networks (2017), p 520-531 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Self-organizing map | es |
dc.subject | Artificial neural network | es |
dc.subject | Feedforward neural network | es |
dc.subject | Pattern recognition | es |
dc.subject | Locomotion gaits | es |
dc.title | Accuracy Improvement of Neural Networks Through Self-Organizing-Maps over Training Datasets | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores | es |
dc.relation.projectID | P12-TIC-1300 | es |
dc.relation.projectID | TEC2016-77785- P | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-319-59153-7_45 | es |
dc.identifier.doi | 10.1007/978-3-319-59153-7_45 | es |
dc.contributor.group | Universidad de Sevilla. TEP-108: Robótica y Tecnología de Computadores Aplicada a la Rehabilitación | es |
idus.format.extent | 12 | es |
dc.publication.initialPage | 520 | es |
dc.publication.endPage | 531 | es |
dc.eventtitle | IWANN 2017: 14th International Work-Conference on Artificial Neural Networks | es |
dc.eventinstitution | Cadiz, España | es |
dc.relation.publicationplace | Berlin | es |