INTEGRATING MACHINE LEARNING INTO CONTROL SYSTEMS

Methods, systems, apparatus and computer program products for implementing machine learning within control systems are disclosed. An industrial facility setting slate can be received from a machine learning system and a determination can be made as to whether to adopt the settings in the industrial facility setting slate. The machine learning model can be a neural network, e.g., a deep neural network, that has been trained, e.g., using reinforcement learning to predict a data setting slate that is predicted to optimize an efficiency of a data center. 公开了用于在控制系统内实现机器学习的方法、系统、装置和计算机程序产品。可以从机器学习系统接收工业设施设置板，并且可以做出关于是否采用工业设施设置板中的设置的确定。机器学习模型可以是神经网络，例如深度神经网络，其已经例如使用强化学习被训练以预测被预测优化数据中心的效率的数据设置板。