introduction/brief CV
Habib Dhahri was born in Sidi Bouzid (Tunisia) in 1975. He graduated in computer science in 2001. He obtained the M.Sc. degree in 2003 and the Ph.D degree in Computer Science in 2013 from the University of Sfax. Currently, He is an Associate Professor in King Saud University . His research interest includes soft computing and computation intelligence: deep learning , swarm intelligence, computer vision
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In this paper, a tree-based encoding method is introduced to represent the Beta basis function neural network. The proposed model called Flexible Beta Basis Function Neural Tree (FBBFNT) can be…
In this paper, we apply the Beta Basis Function Neural Network (BBFNN) trained with cuckoo search (CS) for time series predictions. The cuckoo search algorithm optimizes the network parameters.