|
|||||
|
|
| 基于核机器学习的腔体滤波器辅助调试 | |
| 引用本文： | 周金柱,张福顺,黄进,唐波,熊长武.基于核机器学习的腔体滤波器辅助调试[J].电子学报,2010,38(6):1274-1279. |
| 作者姓名： | 周金柱 张福顺 黄进 唐波 熊长武 |
| 作者单位： | 1. 西安电子科技大学电子装备结构设计教育部重点实验室,陕西西安,710071 2. 西安电子科技大学天线与微波技术国家重点实验室,陕西西安,710071 3. 西南电子技术研究所,四川成都,610036 |
| 基金项目： | 国家973重点基础研究发展规划，国家自然科学基金资助 |
| 摘 要： | 研究了一种基于核机器学习的腔体滤波器辅助调试方法.该方法根据工程中的调试经验数据，首先使用核机器学习算法建立了螺栓调整量和滤波器电性能之间的影响关系模型.然后应用此模型，使用优化技术构建了滤波器的辅助调整方法.实际滤波器的实验结果表明了该方法的有效性.该方法比较适用于工程中批量生产的腔体滤波器的辅助调试. |
| 关 键 词： | 腔体滤波器 辅助调试 机器学习 螺栓 经验数据 |
| 收稿时间： | 2009-6-28 |
| 修稿时间： | 2009-12-22 |
Computer-Aided Tuning of Cavity Filters Using Kernel Machine Learning |
|
| ZHOU Jin-zhu,ZHANG Fu-shun,HUANG Jin,TANG Bo,XIONG Chang-wu.Computer-Aided Tuning of Cavity Filters Using Kernel Machine Learning[J].Acta Electronica Sinica,2010,38(6):1274-1279. | |
| Authors: | ZHOU Jin-zhu ZHANG Fu-shun HUANG Jin TANG Bo XIONG Chang-wu |
| Affiliation: | ZHOU Jin-zhu1,ZHANG Fu-shun2,HUANG Jin1,TANG Bo3,XIONG Chang-wu3(1.Key Laboratory of Electronic Equipment Structure Design of Ministry of Education,Xidian University,Xi'an,Shaanxi 710071,China,2.National Key Laboratory of Antenna and Microwave Technique,3.South West Institution of the Electronically Technology,Chengdu,Sichuan 610036,China) |
| Abstract: | A computer-aided tuning method based on machine learning is proposed in the paper.In the method,an effect model that reveals the relationships between the tunable screws and filter electrical performance is firstly developed by using a kernel algorithm,according to the data sets from tuning experience of technician.Then,a tuning procedure of filters is constructed by using the developed machine learning model.Finally,some experiments are carried out,and the experimental results confirm the effectiveness of ... |
| Keywords: | cavity filters computer-aided tuning machine learning tunable screws tuning experience |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |
| 点击此处可从《电子学报》浏览原始摘要信息 | |
| 点击此处可从《电子学报》下载全文 | |
