ANALYSIS DEVICE, MACHINE LEARNING DEVICE, ANALYSIS SYSTEM, ANALYSIS METHOD, AND RECORDING MEDIUM
An analysis device applies, for each of a plurality of candidates set according to a update target parameter value, the update target parameter value and the candidate to a machine learning result to acquire information, the information indicating a degree of difference of an evaluation target value in a case of the candidate with respect to an evaluation target value in a case of the update target parameter value; calculates, for each candidate, an evaluation target value in a case of the candidate, based on the degree of difference of the evaluation target values and the evaluation target value in the case of the update target parameter value; and compares the evaluation target values in a case of each of the plurality of candidates and selects a candidate from the plurality of candidates based on a result of the comparison.
1 . An analysis device comprising:
at least one memory configured to store instructions; and
at least one processor configured to execute the instructions to:
apply, for each of a plurality of candidates set according to a update target parameter value, the update target parameter value and the candidate to a machine learning result to acquire information, the information indicating a degree of difference of an evaluation target value in a case of the candidate with respect to an evaluation target value in a case of the update target parameter value;
calculate, for each candidate, an evaluation target value in a case of the candidate, based on the degree of difference of the evaluation target values and the evaluation target value in the case of the update target parameter value; and
compare the evaluation target values in a case of each of the plurality of candidates;
select a candidate from the plurality of candidates based on a result of the comparison; and
update the update target parameter value and the evaluation target value in the case of the update target parameter value to the selected candidate and the evaluation target value in the case of the selected candidate, respectively.
2 . The analysis device according to claim 1 , wherein the at least one processor is configured to execute the instructions to: acquire, for each of the plurality of candidates, a value normalized by dividing a difference of the evaluation target value in the case of the candidate with respect to the evaluation target value in the case of the update target parameter value by the evaluation target value in the case of the update target parameter value, as the information indicating the degree of difference of the evaluation target values.
3 . A machine learning device comprising:
at least one memory configured to store instructions; and
at least one processor configured to execute the instructions to:
acquire an update target parameter value and an updated parameter value;
calculate, by simulation, an evaluation target value in a case of the update target parameter value and an evaluation target value in a case of the updated parameter value;
calculate a degree of difference of the evaluation target value in the case of the updated parameter value with respect to the evaluation target value in the case of the update target parameter value; and
perform machine learning on a relationship between: the update target parameter value and the updated parameter value; and the degree of difference of the evaluation target values.
4 . An analysis system comprising:
a machine learning device; and
the analysis device according to claim 1 ,
wherein the machine learning device comprises:
at least one memory configured to store instructions; and
at least one processor configured to execute the instructions to:
acquire an update target parameter value and an updated parameter value;
calculate, by simulation, an evaluation target value in a case of the update target parameter value and an evaluation target value in a case of the updated parameter value;
calculate a degree of difference of the evaluation target value in the case of the updated parameter value with respect to the evaluation target value in the case of the update target parameter value; and
perform learning on a relationship between: the update target parameter value and the updated parameter value; and the degree of difference of the evaluation target values.
5 . An analysis method executed by a computer, the method comprising:
applying, for each of a plurality of candidates set according to a update target parameter value, the update target parameter value and the candidate to a machine learning result to acquire information, the information indicating a degree of difference of an evaluation target value in a case of the candidate with respect to an evaluation target value in a case of the update target parameter value;
calculating, for each candidate, an evaluation target value in a case of the candidate, based on the degree of difference of the evaluation target values and the evaluation target value in the case of the update target parameter value;
comparing the evaluation target values in a case of each of the plurality of candidates;
selecting a candidate from the plurality of candidates based on a result of the comparison; and
updating the update target parameter value and the evaluation target value in the case of the update target parameter value to the selected candidate and the evaluation target value in the case of the selected candidate, respectively.
6 . (canceled)