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This paper presents a data-driven modeling method for cavity filters. In the method, according to the data set from the manufacturing of filters, a model that reveals the effect of manufacturing precision on electrical performance of cavity filters is firstly developed by linear programming support vector regression. Moreover, to solve the modeling problem of small data set, multi-kernel and prior...
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