The week's pick
Reseach Article
Improved PSO Algorithm for Training of Neural Network in Co-design Architecture
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 182 - Number 44 |
| Year of Publication: 2019 |
| Authors: Tuan Linh Dang, Yukinobu Hoshino |
10.5120/ijca2019918583
|
Tuan Linh Dang, Yukinobu Hoshino . Improved PSO Algorithm for Training of Neural Network in Co-design Architecture. International Journal of Computer Applications. 182, 44 ( Mar 2019), 1-7. DOI=10.5120/ijca2019918583
Abstract
This paper proposes a new version of the standard particle swarm optimization (SPSO) algorithm to train a neural network (NN). The improved PSO, called the wPSOd_CV algorithm, is the improved version of the PSOd_CV algorithm presented in a previous study. The wPSOd_CV algorithm is introduced to solve the issue of premature convergence of the SPSO algorithm. The proposed wPSOd_CV algorithm is used in a co-design architecture. Experimental results confirmed the effectiveness of the NN trained by the wPSOd_CV algorithm when compared with the NN trained by the SPSO algorithm and the PSOd_CV algorithm concerning the minimum learning error and the recognition rates.
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