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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-11-01
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Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/12/22/4677 |