Research on the Prediction Method of Clock Tester Calibration Data Based on Radial Basis Function Neural Network

Research on the Prediction Method of Clock Tester Calibration Data Based on Radial Basis Function Neural Network

A radial basis function (RBF) neural network-based calibration data prediction model for clock testers is proposed to address the issues of fixed calibration cycles, low efficiency, and waste of electrical energy. This provides a new method for clock tester traceability calibration. First, analyze t...

Full description

Bibliographic Details
Main Authors: Meixia Yu, Xiaoping Zheng, Chuanhui Zhao
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Electronics
Subjects:
clock tester
data-driven
prediction model
RBF neural network
time driven
Online Access:https://www.mdpi.com/2079-9292/12/22/4677

Internet

https://www.mdpi.com/2079-9292/12/22/4677

Similar Items