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
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;
Conference_Titel :
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6627-1
DOI :
10.1109/IJCNN.2014.6889671
