A new hybridization between Artificial Bee Colony (ABC) and Opposite-based Particle Swarm Optimization (OPSO) is proposed to optimize the parameters of FBBFNT.
In this paper, a new hybrid learning algorithm is introduced to evolve the flexible beta basis function neural tree (FBBFNT). The structure is developed ...
In this paper, a new hybrid learning algorithm is introduced to evolve the flexible beta basis function neural tree (FBBFNT). The structure is developed ...
This hybridization is essentially based on replacing the random Artificial Bee Colony (ABC) position with the guided Opposite -based Particle Swarm Optimization ...
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A new methodology for building and evolving hierarchical fuzzy systems using a tree-based encoding method to hierarchically link low-dimensional fuzzy ...
In this paper, a new hybrid learning algorithm is introduced to evolve the flexible beta basis function neural tree (FBBFNT). The structure is developed ...
In this paper, a new hybrid learning algorithm is introduced to evolve the flexible beta basis function neural tree (FBBFNT). The structure is developed using ...
Evolving flexible beta basis function neural tree using extended genetic programming & hybrid artificial bee colony. S Bouaziz, H Dhahri, AM Alimi, A Abraham.
Evolving flexible beta basis function neural tree using extended genetic programming & Hybrid Artificial Bee Colony · Computer Science, Engineering. Applied Soft ...
Abstract— In this paper, a new hybrid learning algorithm based on the global optimization techniques, is introduced to evolve the Flexible Beta Basis ...