Optimal design of LTCC filter by extracting human experience using fuzzy algorithm
Weijun Wu, Wei Zhang, Qi-Feng Liu, Chao Ni · 2016
The fuzzy algorithm is applied to the optimization design of LTCC filter in order to achieve the ability of rapid design and automatic design. This method can be used to represent the expert information and numerical information in the form of if-then rule set. The fuzzy inference system is established to simulate the human thinking, which is used to design LTCC filter. Especially, when there are many the design parameters and the influence of the parameters on the filter is complex, this method can be effective in the design of LTCC filter. In order to verify the correctness of the proposed method, a LTCC filter is designed by using this method. The optimal results are compared with the measured results. It verifies the effectiveness and correctness of the fuzzy algorithm for the design of LTCC filters.