DocumentCode
1797894
Title
Universal approximation propriety of Flexible Beta Basis Function Neural Tree
Author
Bouaziz, Souhir ; Alimi, Adel M. ; Abraham, Ajith
Author_Institution
Res. Groups in Intell. Machines (REGIM), Univ. of Sfax, Sfax, Tunisia
fYear
2014
fDate
6-11 July 2014
Firstpage
573
Lastpage
580
Abstract
In this paper, the universal approximation propriety is proved for the Flexible Beta Basis Function Neural Tree (FBBFNT) model. This model is a tree-encoding method for designing Beta basis function neural network. The performance of FBBFNT is evaluated for benchmark problems drawn from time series approximation area and is compared with other methods in the literature.
Keywords
approximation theory; neural nets; time series; trees (mathematics); Beta basis function neural network; FBBFNT model; flexible beta basis function neural tree; time series approximation area; tree-encoding method; universal approximation propriety; Artificial neural networks; Computers; Function approximation; Indexes; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6627-1
Type
conf
DOI
10.1109/IJCNN.2014.6889671
Filename
6889671
Link To Document