Complex industrial system forecasting model construction method and device based on deep learning, equipment and storage medium
A forecasting model and industrial system technology, applied in neural learning methods, chemical statistics, manufacturing computing systems, etc., can solve the problems of inability to accurately measure production indicators and key process parameters online, unstable product quality, and high consumption
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[0028] Next, the technical solutions in the embodiments of the present invention will be apparent from the embodiment of the present invention, and it is clearly described, and it is understood that the described embodiments are merely embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, those of ordinary skill in the art will belong to the scope of the present invention without all other embodiments obtained without creative labor.
[0029] figure 1 A flow chart implementation method for the complex industrial system forecasting model of the embodiment of the present invention, the method includes the following steps:
[0030] S1: Establish a dynamic model of the industrial system to determine the input variables and output variables of the dynamic model, the output variable to be the predicted variable.
[0031] Specifically, the predicted variable is an output variable of the industrial system dynamic model, affe...
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