METRIC LEARNING PREDICTION OF SIMULATION PARAMETERS

Predicting simulation parameters is performed by obtaining a plurality of datasets, each dataset including simulation parameters, time series data and a label. Wherein the time series data represents a simulation status for each time and the label represents a simulation result. Learning a metric of the simulation parameters including two datasets of the plurality of datasets. Wherein the metric imitates the similarity of time series data of the two datasets, and training a model for predicting the label for simulation parameters by using the metric.