Recurrent neural network for controlling errors in data processing performance levels

A computing system configured to evaluate and control a data processing performance level of an automated data processing operation being performed, the computing system comprising:

• a processor;
• a display device operatively coupled with the processor and a memory device operatively coupled with the processor, the memory device storing a performance level evaluation application having executable code that, when executed, causes the processor to:
• receive real-time operational performance data for the automated data processing operation being performed;
• evaluate the data and generate a current performance level for the automated data processing operation;
• train a recurrent neural network to build a machine learning model to process the received operational performance data and generate a predicted performance level for the automated data processing operation corresponding to a predetermined future time;
• generate an error detection indicator representing a difference between the predicted performance level and a specified performance level;
• display information representing the specified performance level, the current performance level, the predicted performance level and the error detection indicator on the display device;
• and
• control the automated data processing operation to correct the current performance level to the specified performance level when the error detection indicator exceeds a specified performance difference between the current performance level and the predetermined performance level.