首页    期刊浏览 2024年11月13日 星期三
登录注册

文章基本信息

  • 标题:Efficient characterization of microwave applicator loaded with multilayer dielectric based on neural networks
  • 本地全文:下载
  • 作者:Stanković Zoran ; Milovanović Bratislav ; Dončov Nebojša
  • 期刊名称:Facta universitatis - series: Electronics and Energetics
  • 印刷版ISSN:0353-3670
  • 电子版ISSN:2217-5997
  • 出版年度:2010
  • 卷号:23
  • 期号:2
  • 页码:217-226
  • DOI:10.2298/FUEE1002217S
  • 出版社:University of Niš
  • 摘要:

    In this paper, new neural network approach for characterization of cylindrical metallic cavity loaded with multilayer dielectric is suggested. Such cavity configuration has a great importance in realization of microwave resonant applicators, widely used for thermal processing of multilayer materials. Proposed neural model is based on representation of multilayer cavity load via several planparallel homogeneous dielectric slabs and superposition of separate influence of each dielectric slab parameters on the cavity resonant frequency. Model is incorporated into MLP neural network enabling its efficient implementation on modest hardware platform. Suggested approach is verified on the example of circular cylindrical metallic cavity loaded with two-layer dielectric.

  • 关键词:Microwave cavity; multilayer dielectric; neural network modeling; resonant frequency
国家哲学社会科学文献中心版权所有