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利用智能方法进行LTCC电路的建模与优化

Modeling Technique and Optimization of Microwave circuits
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摘要 建模分析和优化综合是目前叠层LTCC滤波器设计的关键。建模方法一直是LTCC电路计算机辅助设计技术的主要瓶颈。利用智能方法对叠层LTCC滤波器的建模与优化的现状进行分析和讨论,即人工神经网络(ANN)、基因算法(GA)、遗传神经网络、神经网络空间映射(NSM)和知识自动模型生成(KAMG)等几种主要方法。并对以后的研究方向和发展趋势作了预测性阐述。 Recently, modeling and analysis, optimization and synthesis are two issues in design of LTCC filters. Modeling still remains a major bottleneck for efficient LTCC circuits CAD technique, Review the current state of the art in modeling and optimization of LTCC filters. Artificial neural networks （ ANN）, Genetic Algorithms （ GA）, Neural Space Mapping （ NSM ）, Genetic neural networks and Knowledge - based automatic model generation （KAMG） are reviewed and described, Future directions in modeling and optimization of LTCC filters are suggested,
作者 滕林 谢诗文 丁晓鸿
机构地区 深圳振华富电子有限公司
出处 《电子工艺技术》 2006年第6期311-317,共7页 Electronics Process Technology
关键词 人工神经网络(ANN) 部分元件等效电路(PEEC) 知识型神经网络(KBNN) 神经网 络空间映射(NSM) 先验知识注入(PKI) 基因算法(GA) 知识自动模型生成(KAMG) Artificial neural networks （ ANN ） Partial element equivalent circuit Algorithms （GA） Neural Space Mapping （ NSM ） Knowledge - Based neural networks knowledge input（ PKI） Knowledge- Based automatic model generation（KAMG）
分类号 TN713 [电子电信—电路与系统]
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参考文献28

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二级参考文献6

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共引文献1

电子工艺技术
2006年 第6期

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