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http://hdl.handle.net/11531/5730
Título : | Real Time Dynamic Ellipsoidal Neural Network (RTDENN) |
Autor : | Sánchez Miralles, Alvaro Sanz Bobi, Miguel Ángel |
Fecha de publicación : | 12-jun-2002 |
Editorial : | Sin editorial (Cádiz, España) |
Resumen : | 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. |
Descripción : | Capítulos en libros |
URI : | http://hdl.handle.net/11531/5730 |
Aparece en las colecciones: | Artículos |
Ficheros en este ítem:
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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