✦ LIBER ✦

Modeling resonant frequency of microstrip antenna based on neural network ensemble

✍ Scribed by Tian Yu-Bo; Zhang Su-Ling; Li Jing-Yi

Publisher: John Wiley and Sons
Year: 2010
Tongue: English
Weight: 190 KB
Volume: 24
Category: Article
ISSN: 0894-3370
DOI: 10.1002/jnm.761

No coin nor oath required. For personal study only.

✦ Synopsis

Resonant frequency is an important parameter in designing microstrip antenna (MSA). Selective neural network ensemble (NNE) methods based on decimal particle swarm optimization (PSO) algorithm and binary PSO algorithm are proposed in this study. The basic idea of the methods is to optimally select neural networks (NNs) to construct NNE with the aid of PSO algorithm. This may maintain the diversity of NNs and decrease the effects of collinearity and noise of sample. Simultaneously, chaos mutation is adopted to increase the diversity of particles of PSO. Experimental results show that the chaos PSO algorithm can improve the generalization ability of NNE. Moreover, by using this algorithm, model of resonant frequency of MSA is established. Computing results indicate that the model is better than the available ones.

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