Automatic Measurement and Control Model of Aviation Equipment Based on Adaptive Learning Rate Strategy

Abstract

Based on the above background, the purpose of this paper is to study the automatic measurement and control model of aviation equipment based on adaptive learning rate strategy. In this paper, aiming at the problem of the phase error of piezoelectric sensor array caused by the anisotropy of the aerial device, the position error of sensor array element and the wave packet overlapping, which leads to the decrease of the positioning accuracy, an all-round array error correction method based on the adaptive learning rate strategy is proposed, It improves the positioning accuracy and reliability of the automatic measurement and control of the aviation device on the real complex aviation device. At the same time, it is used to detect the possible concept drift, so as to update the existing model dynamically. The experimental results in the synthetic data set and real data show that the unbalanced learning strategy has a certain improvement in classification accuracy and geometric mean (it is better to improve about 4% and 7% respectively), and is more adaptable to the unbalanced environment with conceptual drift.