Investigation of Stored Energy Distribution in Filters Using K-Means Clustering Algorithm

被引：0
|
作者：
Paradkar, Rucha A. [1 ]
Hunter, Ian C. [1 ]
Somjit, Nutapong [1 ]
Musonda, Evaristo [2 ]
Parry, Richard [3 ]
Bakr, Mustafa S. [1 ]
机构：
[1] Univ Leeds, Sch Elect & Elect Engn, Leeds, W Yorkshire, England
[2] Univ Zambia, Sch Engn, Lusaka, Zambia
[3] Radio Design Ltd, Shipley, England
来源：
2019 49TH EUROPEAN MICROWAVE CONFERENCE (EUMC) | 2019年
基金：
英国工程与自然科学研究理事会;
关键词：
Stored energy distribution; RF filters; k-means algorithm; pattern recognition;
D O I：
10.23919/eumc.2019.8910849
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The k-means clustering algorithm has been implemented to find patterns in the time-averaged stored energy distribution in various filter networks. A large data set comprising of numerous topologies for 50 different single band specifications has been investigated. By finding key characteristics within this data set, general guidelines for predicting the optimum topology for power handling have been established.
引用
收藏
页码：396 / 399
页数：4
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