the data of Gaussian Process Regression Based Traffic Prediction and Rate Coordination for Service Chain Congestion Optimization
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the data of Gaussian Process Regression Based Traffic Prediction and Rate Coordination for Service Chain Congestion Optimization
The data are used to identify the kinematic parameters deviation of Cartesian robot, train Gaussian Process Regression (GPR) model, record the compensation result of four calibration methods under different loading conditions.