The modified particle swarm optimization for the design of the Beta Basis Function neural networks. Abstract: This paper proposes and describes an effective ...
This paper proposes and describes an effective utilization of the heuristic optimization. The focus of this research is on a hybrid method combining two ...
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A hybrid method combining two heuristic optimization techniques; Differential evolution algorithms (DE) and particle swarm optimization (PSO), ...
Bibliographic details on The modified particle swarm optimization for the design of the Beta Basis Function neural networks.
A novel learning algorithm is proposed for non linear modeling and identification by the use of the beta basis function neural network (BBFNN).
The results show that within these classes of evolutionary methods, particle swarm optimization algorithms are very robust, effective and highly efficient in ...
The modified particle swarm optimization for the design of the Beta Basis Function neural networks · Computer Science, Engineering. 2008 IEEE Congress on ...
The proposed method is a hierarchical particle swarm optimization (HPSO). The objective of this paper is to optimize the parameters of the beta basis function ...
Oct 26, 2023 · Mariangela proposed an artificial neural network (ANN) together with PSO algorithm to select the optimal process parameters for the Micro ...
The objective of this paper is to optimize the parameters of the beta basis function neural network (BBFNN) with high accuracy. The population of HPSO forms ...