Exploiting the functional training approach in B-Splines

When used for function approximation purposes, neural networks belong to a class of models whose parameters can be separated into linear and nonlinear, according to their influence in the model output. This concept of parameter separability can also be applied when the training problem is formulated...

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Bibliographic Details
Main Author: Ruano, Antonio (author)
Other Authors: Cabrita, Cristiano Lourenço (author), Ferreira, P. M. (author), Kóczy, László T. (author)
Format: conferenceObject
Language:eng
Published: 2013
Subjects:
Neural networks training
Parameter separability
Functional back-propagation
Online Access:http://hdl.handle.net/10400.1/2129
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/2129

Internet

http://hdl.handle.net/10400.1/2129

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