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神经网络在微带DGS结构设计中的应用
Application of Neural Network to the Design of Microstrip DGS Structure
【摘要】 采用神经网络对微带DGS结构进行建模分析。由于神经网络具有精度高、实时调用速度快等优点,因此本文所介绍的对DGS结构的神经网络设计方法可替代通常所使用的FDTD分析方法,作为电路设计辅助工具。仿真结果证明了该方法的有效性。
【Abstract】 In this paper, a neural network model of the defected ground structure is established. Since the neural network model has the advantages of great precision and effectiveness, the developed design model can be used to take the place of the FDTD method of the DGS structure, being a kind of aid tool of circuit design. The results of computer simulation are obtained to demonstrate the effectiveness of the method.
【关键词】 神经网络;
DGS结构;
反向传播算法;
【Key words】 Neural network; Defected ground structure (DGS); BP algorithm;
【Key words】 Neural network; Defected ground structure (DGS); BP algorithm;
- 【文献出处】 微波学报 ,Journal of Microwares , 编辑部邮箱 ,2005年02期
- 【分类号】TN011
- 【被引频次】5
- 【下载频次】84