Control Strategy

• The process starts with the initial state and supplies its state (values of process parameters) to the neural network model.
• The neural network model then verifies the optimality of the process state by predicting the likely level of porosity in the castings.
• If the porosity level is predicted as acceptable, the neural network produces a signal to the hardware controller to maintain the current state of the process.
• Otherwise it notifies the controller that the process has to be switched to another one of the available settings which is then evaluated again and if found adequate is used.
• After every cycle of the casting production, the neural network can re-evaluate the likely effect of the particular process settings on the quality of the castings and generate required advise to the controller.