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DEEP LEARNING MODEL FOR PROBABILISTIC FORECAST OF CONTINUOUS MANUFACTURING PROCESS
DEEP LEARNING MODEL FOR PROBABILISTIC FORECAST OF CONTINUOUS MANUFACTURING PROCESS
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机译:连续制造过程概率预测的深度学习模型
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摘要
A computer-implemented method for controlling a manufacturing process. A non-limiting example of the computer-implemented method includes using a processor to perform discretization modeling of a continuous probability distribution to yield a prediction of a future probability distribution. Next, the method uses the processor to impose a smoothness condition on the predicted probability distribution. The method using the processor to perform a multi-step forecast of the probability distribution to create a predicted probability density function. The method uses the predicted probability density function as an input to a process control system and uses the processor to control a process using the predicted probability density function.
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