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5) INTERFACE THE NN MODEL TO THE PROCESS VIA  I/O USING MODBUS TCP/IP

SIMULATION

6) PROCESS THE NN MODEL ONLINE.

ADD PREDICTIVE PROPERTIES, CONDITIONING AND DEVIATION FROM REFERENCE MONITORING.

3) UPLOAD THE MODEL COEFFICIENTS TO  THE PROCESS AI SERVER

7) SIMULTANEOUSLY MONITOR UP TO 25 NN MODELS

WITH THE OVERVIEW SCREEN

8) REMOTE THE CONTROL SYSTEM. IN BY LOCAL/REMOTE SWITCH  

2) TRAIN THE NEURAL NETWORK. THE TRAINING COEFFICIENTS ARE USED TO MODEL THE CONTROL VARIABLE.  

1) START WITH DATA.

FROM THE HISTORIAN, COLLECT CONTROL AND PROCESS DATA.

HOW TO:

4) TEST THE NN MODEL WITH DIFFERENT 

​DATA SETS