Decision Tree Based Displacement Prediction Method of Laser Sensor

Authors

  • Lian Wu School of Electronic Engineering, Changzhou College of Information Technology, Changzhou 213164, China

Abstract

To improve the fit between the displacement predicted results and the actual results, improve the measurement result accuracy, and improve the prediction efficiency, a laser sensor displacement prediction method on the basis of decision tree is put forward. In accordance with the operating principle of the laser sensor and the analysis results of the factors affecting the laser frequency (LF) stability, the precise relationship between the object and the image displacement is obtained; the decision tree is constructed, and the constructed decision number is used to mine the displacement data to improve the displacement prediction efficiency; on the basis of the displacement data mining results, the displacement comprehensive forecast index is calculated, and the value range of the displacement trend comprehensive forecast index is obtained through calculation. According to experimental
results, the difference between the predicted results of the method in this paper and the actual displacement is small. The relative error of the predicted results is small, and the prediction efficiency is high. These results verify the application value of the method.

Keywords: decision tree; laser sensor; displacement prediction; comprehensive prediction index; phase space reconstruction

Cite As

L. Wu, "Decision Tree Based Displacement Prediction Method of Laser Sensor", Engineering Intelligent
Systems, vol. 31 no. 3, pp. 205-213, 2023.


 

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Published

2023-05-01

Issue

Vol. 31 No. 3 (2023): International Journal of Engineering Intelligent Systems

Section

Article

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