A machine learning method includes: calculating a reward for a result of decision of a cold isostatic pressing process condition based on an acquired state variable; updating, based on the reward, a function to decide at least one cold isostatic pressing process condition from the state variable; and deciding a cold isostatic pressing process condition which yields a highest reward, by repeating update of the function. The cold isostatic pressing process condition is at least one of a first parameter related to an object to be processed, a second parameter related to a preceding process of a cold isostatic pressing process, and a third parameter related to operating conditions of a cold isostatic pressing apparatus, and the at least one physical amount is related to at least one of sterilization and inactivation, shucking, improvement of taste and flavor, and improvement of texture and nourishment of the object to be processed....

You do not currently have access to this content.