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Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Sánchez Miralles, Alvaro | es-ES |
dc.contributor.author | Sanz Bobi, Miguel Ángel | es-ES |
dc.date.accessioned | 2016-01-15T11:28:30Z | - |
dc.date.available | 2016-01-15T11:28:30Z | - |
dc.date.issued | 2002-06-12 | es_ES |
dc.identifier.uri | http://hdl.handle.net/11531/5730 | - |
dc.description | Capítulos en libros | es_ES |
dc.description.abstract | es-ES | |
dc.description.abstract | This paper describes a new neural network able to adapt itself, both its parameters and its structure, to a data set in real-time conditions. The adaptation is based on a non-supervised learning procedure. The new neural network can automatically create interconnections between neurons using a Gaussian activation function. Still another important feature of this new neural network is the use of few neurons to make a good prediction using a reduced number of examples. This is relevant in order to make fast calculations using few resources in real-time applications. Some examples focusing on mobile robotics applications are included in order to demonstrate its good performance. | en-GB |
dc.format.mimetype | application/pdf | es_ES |
dc.language.iso | en-GB | es_ES |
dc.publisher | Sin editorial (Cádiz, España) | es_ES |
dc.rights | es_ES | |
dc.rights.uri | es_ES | |
dc.source | Libro: 2002 WSEAS Int. Conf. on Signal Processing, Página inicial: , Página final: | es_ES |
dc.subject.other | Instituto de Investigación Tecnológica (IIT) | es_ES |
dc.title | Real Time Dynamic Ellipsoidal Neural Network (RTDENN) | es_ES |
dc.type | info:eu-repo/semantics/bookPart | es_ES |
dc.description.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | es_ES |
dc.keywords | es-ES | |
dc.keywords | one-pass learning, neural networks, environment modeling, real-time navigation, autonomous, mobile robot. | en-GB |
Aparece en las colecciones: | Artículos |
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Fichero | Descripción | Tamaño | Formato | |
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IIT-02-036A.pdf | 289,9 kB | Adobe PDF | Visualizar/Abrir Request a copy |
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