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MACHINE LEARNING METHOD, MACHINE LEARNING DEVICE, MACHINE LEARNING PROGRAM, COMMUNICATION METHOD, AND KNEADING DEVICE

机译:机器学习方法,机器学习设备,机器学习程序,通信方法和捏合装置

摘要

This machine learning method includes acquiring a state variable including at least one first evaluation parameter relating to performance evaluation of kneaded matter and at least one kneading condition, calculating a reward with regard to a decision result of at least one kneading condition on the basis of the state variable, updating a function for deciding the at least one kneading condition from the state variable on the basis of the reward, and deciding a kneading condition where the reward obtained is greatest by repeating updating of the function. The at least one first evaluation parameter includes at least one of a physical property and a shape property regarding the kneaded matter.
机译:该机器学习方法包括获取包括与捏合物质和至少一个捏合条件的性能评估有关的至少一个第一评估参数的状态变量,以基于所在的判断结果 状态变量,根据奖励更新从状态变量决定至少一个捏合条件的功能,并决定通过重复更新函数而获得的奖励最大的捏合条件。 所述至少一个第一评估参数包括关于捏合物的物理性质和形状特征中的至少一个。

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