The invention relates to the technical field of resonators, in particular to a
resonator parameter analysis method and
system based on
artificial intelligence, and the method comprises the steps: generating an ideal
coupling matrix of a target
resonator according to the
center frequency, the
passband bandwidth and the in-
passband return loss; acquiring a corresponding relationship among an external quality factor, a
coupling coefficient between resonant cavities, a
coupling window width and a
resonant cavity length through
electromagnetic simulation or theoretical calculation, constructing a training
data set, and training a regression model to predict the coupling
window width; obtaining an external quality factor and a coupling coefficient of a target
frequency band by utilizing
baseband-
passband transformation, solving the width of each coupling window through a prediction model, calculating the length of a
resonant cavity by combining interpolation and
scale transformation to form an initial size, establishing a three-
dimensional simulation model to extract a
coupling matrix, and iteratively correcting the length of the
resonant cavity according to
diagonal elements, so as to obtain an initial size; and obtaining a final physical size meeting the index. According to the method, the problems that an existing
resonator design and
parameter analysis process depends on experience, the number of
simulation iterations is large, and the parameter reverse solving efficiency is low can be solved.