Clock Difference Prediction of Atomic Clock Based on Support Vector Machine

The atomic clock device is complicated, and its operation is influenced by a lot of factors, so the date has certain randomness. Predicting atomic clock data by appropriate algorithm is the important step of atomic clock data processing. This article chooses SVM algorithm to predict clock differences, and processed the real atomic clock data, compared relative error with the prediction results and the results of linear regression algorithm, the prediction algorithm based on SVM is effective.