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Machine learning method, machine learning device, machine learning program, communication method, and kneading apparatus

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

Problem to be solved: to decide the kneading condition to obtain an appropriate mixture without relying on the long term experience by skilled engineers.Machine learning methodAt least one first evaluation parameter on the performance evaluation of the kneading material andGet a state variable containing at least one kneading condition andBased on state variablesCalculate the remuneration for the decision result of at least one kneading condition andA function for determining at least one kneading condition from a state variableUpdate based on rewardBy repeating the function updateDetermine the kneading conditions that the highest reward is obtainedAt least one first evaluation parameter isAt least one of the physical properties and the shape characteristics of the kneading material is included.Diagram
机译:要解决的问题:决定捏合条件以获得适当的混合物,而无需依赖技术工程师的长期经验。机器学习方法至少一个关于捏合材料性能评估的第一个评估参数,并且在状态VariaBalculate上包含至少一个捏合条件的状态变量,用于确定至少一个捏合条件的判定结果和用于确定至少一个捏合的功能根据Remented的状态来自A状态的条件重复函数updateTermine最高奖励的捏合条件是最低奖励的最低奖励参数,包括捏合材料的物理性质和形状特性.diagram

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