Neural Based Orthogonal Data Fitting: The EXIN Neural Networks

Written by three leaders in the field of neural based algorithms, Neural Based Orthogonal Data Fitting proposes several neural networks, all endowed with a complete theory which not only explains their behavior, but also compares them with the existing neural and traditional algorithms. The algorith...

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Detalles Bibliográficos
Autores principales: Cirrincione, Giansalvo, Cirrincione, Maurizio
Lenguaje:eng
Publicado: John Wiley & Sons Inc 2008
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/1412913
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author Cirrincione, Giansalvo
Cirrincione, Maurizio
author_facet Cirrincione, Giansalvo
Cirrincione, Maurizio
author_sort Cirrincione, Giansalvo
collection CERN
description Written by three leaders in the field of neural based algorithms, Neural Based Orthogonal Data Fitting proposes several neural networks, all endowed with a complete theory which not only explains their behavior, but also compares them with the existing neural and traditional algorithms. The algorithms are studied from different points of view, including: as a differential geometry problem, as a dynamic problem, as a stochastic problem, and as a numerical problem. All algorithms have also been analyzed on real time problems (large dimensional data matrices) and have shown accurate solutions. Wh
id cern-1412913
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2008
publisher John Wiley & Sons Inc
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spelling cern-14129132021-04-22T00:43:43Zhttp://cds.cern.ch/record/1412913engCirrincione, GiansalvoCirrincione, MaurizioNeural Based Orthogonal Data Fitting: The EXIN Neural NetworksComputing and ComputersWritten by three leaders in the field of neural based algorithms, Neural Based Orthogonal Data Fitting proposes several neural networks, all endowed with a complete theory which not only explains their behavior, but also compares them with the existing neural and traditional algorithms. The algorithms are studied from different points of view, including: as a differential geometry problem, as a dynamic problem, as a stochastic problem, and as a numerical problem. All algorithms have also been analyzed on real time problems (large dimensional data matrices) and have shown accurate solutions. WhJohn Wiley & Sons Incoai:cds.cern.ch:14129132008
spellingShingle Computing and Computers
Cirrincione, Giansalvo
Cirrincione, Maurizio
Neural Based Orthogonal Data Fitting: The EXIN Neural Networks
title Neural Based Orthogonal Data Fitting: The EXIN Neural Networks
title_full Neural Based Orthogonal Data Fitting: The EXIN Neural Networks
title_fullStr Neural Based Orthogonal Data Fitting: The EXIN Neural Networks
title_full_unstemmed Neural Based Orthogonal Data Fitting: The EXIN Neural Networks
title_short Neural Based Orthogonal Data Fitting: The EXIN Neural Networks
title_sort neural based orthogonal data fitting: the exin neural networks
topic Computing and Computers
url http://cds.cern.ch/record/1412913
work_keys_str_mv AT cirrincionegiansalvo neuralbasedorthogonaldatafittingtheexinneuralnetworks
AT cirrincionemaurizio neuralbasedorthogonaldatafittingtheexinneuralnetworks

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