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基于神经网络的S参数估计法

周力 毛钧杰 姚德淼

周力, 毛钧杰, 姚德淼. 基于神经网络的S参数估计法[J]. 电子与信息学报, 2001, 23(3): 304-307.
引用本文: 周力, 毛钧杰, 姚德淼. 基于神经网络的S参数估计法[J]. 电子与信息学报, 2001, 23(3): 304-307.
Zhou Li, Mao Junjie, Yao Demiao. A Method Based on Neural Network to Estimate Scattering Parameter[J]. Journal of Electronics & Information Technology, 2001, 23(3): 304-307.
Citation: Zhou Li, Mao Junjie, Yao Demiao. A Method Based on Neural Network to Estimate Scattering Parameter[J]. Journal of Electronics & Information Technology, 2001, 23(3): 304-307.

基于神经网络的S参数估计法

A Method Based on Neural Network to Estimate Scattering Parameter

  • 摘要: 该文讨论了神经网络用于微波电路的一种新的训练算法,是基于误差反传算法与模拟退火算法相结合的。本算法可以解决BP网的局部最小问题。并且不用对神经网络模型的结构作任何改动。通过一个具体算例的计算验证了这种算法。
  • M. Vai, S. Prasad, Automatic impedance matching with a neural network. IEEE Microwave Guided Wave Lett., 1993, 3(3), 353-354.[2]P.M. Watson, K. C. Gupta, Design and optimizasion of CPW circuits, IEEE Trans. on MTT,1997, 45(12), 2515-2523.[3]B.G. Hoskins, M. R. Haskard, Artificial neural network techniques for the estimation of thick-film resistance, Microelectronics Journal, 1995, 25(1), 9-16.[4]A.H. Zaabab, Zhang Q. J, M. Nakhla, A neural network modeling approach to circuits optimization and statistical design, IEEE Trans. on MTT, 1995, 43(6), 1349-1358.[5]A. Veluswami, M. S. Nakhla, Zhang Q. J, The application of neural networks to EM-base simulation and optimization of interconnects in high-speed VLSI circuits, IEEE Trans. on MTT, 1997,45(5), 712-722.[6]A.H. Zaabab, Zhang Q. J, M. S. Nakhla, Device and circuit-level modeling using neural networks with faster training base on network sparsity, IEEE Trans. on MTT, 1997, 45(10), 1696-1704.[7]P.M. Watson, K. G. Gupta, EMM-ANN models for microstrip via and interconnects in multilayer circuits, IEEE Trans. on MTT, 1997, 45(12), 2495-2503.[8]F.F. Wang, Zhang Q J, Knowledge-based neural models for microwave design, IEEE Trans. on MTT, 1997,45(12), 2333-2343.[9]K.L. Finch, N. Alexopoulos, Shunt post in microstrip transmission lines, IEEE Trans. on MTT,1990, 38(11), 1585-1594.
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出版历程
  • 收稿日期:  1999-04-14
  • 修回日期:  1999-10-25
  • 刊出日期:  2001-03-19

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