Data-driven modeling and optimization for cavity filters using linear programming support vector regression


This paper presents a data-driven modeling and optimization method for cavity filters, according to a limited amount of measurement data. In the method, a model that reveals the effect of mechanical structure on electrical performance of cavity filters is firstly developed by an improved algorithm, which can increase the modeling accuracy of small data set… (More)
DOI: 10.1007/s00521-013-1418-7


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