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http://hdl.handle.net/10071/5312
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Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Nunes, Luís | - |
dc.contributor.author | Almeida, Luís B. | - |
dc.contributor.author | Langlois, Thibault | - |
dc.date.accessioned | 2013-07-11T14:30:02Z | - |
dc.date.available | 2013-07-11T14:30:02Z | - |
dc.date.issued | 2013-07-11 | - |
dc.identifier.uri | http://hdl.handle.net/10071/5312 | - |
dc.description.abstract | This paper introduces a new type of network based on local response units, the ‘Intelpolation Networh’ (INS).U nder certain conditions this network is an interpolator. Its formulation allows a type of initialisation by prototypes that will set the net in a good initial starting point for the subsequent supervised learning process. These networks can be seen as a type of ‘Radial Basis Functions Network’ (RBFN) [Moody88]. However, their basis functions are essentially inverse squared distances instead of Gaussian functions. A brief description of the origin and motivation of INS is made in the first section, followed by the description of the first experiments with these networks. | por |
dc.language.iso | eng | por |
dc.rights | restrictedAccess | por |
dc.subject | Interpolation Networks | por |
dc.subject | Radial Basis Functions | por |
dc.subject | initialisation by prototypes | por |
dc.subject | Neural Networks | por |
dc.title | Interpolation Networks | por |
dc.type | conferenceObject | por |
dc.event.title | International Conference on Neural Networks (ICNN96) | por |
dc.event.type | Conferência | por |
dc.event.location | Washington DC, USA | por |
dc.event.date | 1996 | por |
dc.pagination | 1750-1754 | por |
dc.publicationstatus | Publicado | por |
dc.peerreviewed | Sim | por |
Aparece nas coleções: | CTI-CRI - Comunicações a conferências internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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InterpolationNetworks_fromIEEE.pdf Restricted Access | 380,27 kB | Adobe PDF | Ver/Abrir Request a copy |
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