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This study attempts to enhance the performance of radial basis function neural network (RBFnn) using self- organizing map neural network (SOMnn). In addition, the hybrid of genetic algorithm and particle swarm optimization (HGP) algorithm is employed to train RBFnn for function approximation. The proposed SOM-HGP evolutionary algorithm combines the automatically clustering ability of SOMnn and the...
This paper proposes a hybrid evolutionary algorithm based radial basis function neural network (RBFnn) for sales forecasting. The proposed hybrid of particle swarm and genetic algorithm based optimization (HPSGO) algorithm gathers virtues of particle swarm optimization (PSO) and genetic algorithm (GA) to improve the learning performance of RBFnn. The diversity of chromosomes results in higher chance...
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