| 1. | Electromagnetic stop band structure is one of these structures
电磁阻带结构就其中之一。 |
| 2. | The scattering parameters of two proposed electromagnetic stop band filters have been fitted by this method
本文提出了两种电磁阻带结构滤波器，并用该方法拟合了它们的散射参数。 |
| 3. | In this dissertation , characteristic impedance and effective permittivity of two well - known electromagnetic stop band structures have been fitted by this method
本文用该方法拟合了两个已有的电磁阻带结构的特性阻抗和有效介电常数。 |
| 4. | Equivalent circuits of two proposed electromagnetic stop band filters have been developed . and their parameters have been optimized using this method
本文对两个新提出的电磁阻带结构滤波器建立了等效电路，并用该方法优化了相应的参数。 |
| 5. | Due to excellent stop band and slow wave characteristics , they are applied to filters , resonators , directional couplers , diplexers and antennas
由于其优良的带阻、慢波等特性，它们被广泛地应用于滤波器、谐振器、定向耦合器、双工器和天线中。 |
| 6. | Based on former researchers " works , artificial neural network method is introduced to the analysis of electromagnetic stop band structure to fulfill fast analysis in this dissertation
本文所做的工作就是在前人研究工作的基础上，将人工神经网络方法引入到电磁阻带结构的分析中，实现它们的快速分析。 |
| 7. | Three types of artificial neural networks , namely radial basis function network , feedforward network , stochastic network , and their application in the analysis of electromagnetic stop band structure in coplanar waveguide have been discussed
本文研究了以下三种人工神经网络：径向基函数网络、前向网络、随机网络，并用于分析共面波导中的电磁阻带结构。 |
