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《Journal of Communication University of China(Science and Technology)》 2009-02
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Modeling Resonant Frequency of Microstrip Antenna based on Neural Network Trained by PSO-BP Algorithm

DONG Yue1,TIAN Yu-bo2(1.Information Engineering School,Communication University of China,Beijing 100024;2.School of Electronics and Information,Jiangsu University of Science and Technology,Zhenjiang Jiangsu 212003)  
Resonant frequency is an important parameter in the design process of microstrip antenna(MSA).A hybrid algorithm fused particle swarm optimization(PSO) and back propagation(BP) together is proposed in this paper,and model of resonant frequency of rectangular MSA is established in terms of the network.The algorithm fuses effectively the global search characteristic of PSO and local search characteristic of BP,and it can improve the model's accuracy definitely.Experiment shows that the model of resonant frequency of MSA established by use of the algorithm is better than available ones.
【Fund】: 江苏省高校“青蓝工程”优秀青年骨干教师培养项目:江苏省高校自然科学基础研究项目(0KJB510032)
【CateGory Index】: TN822;TP183
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