Abstract:
An information processing device includes: a machine learning model selection part configured to select a machine learning model appropriate for a data set used for learning of the machine learning model; a calculation part configured to perform an optimization calculation by using the selected machine learning model to calculate process conditions that can achieve a target process result, predicted values of a process result corresponding to each of the process conditions, and reliability of the predicted values; a process condition selection part configured to select, among the process conditions that can achieve the target process result, one or more process conditions according to the predicted values of the process result and the reliability of the predicted values; and a display controller configured to display the selected process conditions, the predicted values of the process result corresponding to each of the selected process conditions, and the reliability of the predicted values.
Abstract:
The controller receives information including a plurality of evaluation indexes, a weight of each evaluation index, the number of times for calculating a value of an evaluation function, and initial parameter values, and performs a simulation based on the received information. Then, the controller calculates a value of an evaluation function based on a result of the simulation, and determines whether the calculated value of the evaluation function is minimum, to update parameters when it is determined that the value of the evaluation function is minimum. In the calculation of a value of the evaluation function, a value of the evaluation function is calculated again based on the number of times for calculating a value of an evaluation function. The controller generates new parameters by a genetic algorithm when a value of an evaluation function is calculated again.