| 摘要: |
| 针对多谐振腔结构的均衡器其S参数测量数据库,提出了一种工程上实用的径向基函数(RBF)神经网络插值算法,介绍了该算法的主要思想,利用MATLAB软件给出了微波均衡器插值实例,并对其插值特性进行了分析和改进。计算和分析结果表明,该算法能在较高的插值精度条件下对数据进行有效的插值处理。该算法在微波器件的工程设计中具有一定的推广应用价值。 |
| 关键词: RBF神经网络,微波均衡器,优化设计,插值算法,测量数据库 |
| DOI： |
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| 基金项目:国家自然科学基金 |
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| Application of RBF Neural Network in the Design of Microwave Equalizer |
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| Abstract: |
| A radius base function(RBF) neural network interpolation algorithm is presented which aims at the [S] parameter measurement database of complex microwave structures.The thought of this algorithm is introduced.Using the Matlab software,the interpolation examples of microwave equalizer are presented.The interpolation property is analysed and improved.The calculation result indicates that the measurement database can achieve effective data interpolation by using the algorithm with proper interpolation precision.The algorithm has great practical value in microwave engineering designs. |
| Key words: RBF neural network,microwave equalizer,optimized design,interpolation algorithm,measurement database |
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