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Process control system and - a method by means of a neural network and / or expert system

机译:过程控制系统和-借助神经网络和/或专家系统的方法

摘要

A neural network/expert system process control system and method combines the decision-making capabilities of expert systems with the predictive capabilities of neural networks for improved process control. Neural networks provide predictions of measurements which are difficult to make, or supervisory or regulatory control changes which are difficult to implement using classical control techniques. Expert systems make decisions automatically based on knowledge which is well-known and can be expressed in rules or other knowledge representation forms. Sensor and laboratory data is effictively used. In one approach, the output data from the neural network can be used by the controller in controlling the process, and the expert system can make a decision using sensor or lab data to control the controller(s). In another approach, the output data of the neural network can be used by the expert system in making its decision, and control of the process carried out using lab or sensor data. In another approach, the output data can be used both to control the process and to make decisions.
机译:神经网络/专家系统过程控制系统和方法将专家系统的决策能力与神经网络的预测能力相结合,以改进过程控制。神经网络提供难以进行的测量预测,或难以使用经典控制技术实现的监控或监管控制更改。专家系统根据众所周知的知识自动做出决策,这些知识可以用规则或其他知识表示形式来表达。有效地使用了传感器和实验室数据。在一种方法中,控制器可以使用来自神经网络的输出数据来控制过程,并且专家系统可以使用传感器或实验室数据来控制控制器。在另一种方法中,专家系统可以使用神经网络的输出数据进行决策,并控制使用实验室或传感器数据执行的过程。在另一种方法中,输出数据可用于控制过程和制定决策。

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