The accuracy factor and bias factor were within the proposed acceptable values indicating the suitability of the model for predictive purposes, such as prediction of the process criteria to meet the Food Safety Objectives.
The modeling and simulation of laser surface processing enables the prediction of the process response at certain levels of input and control parameters.
For proper design of the process, a prediction of the process is required to obtain relevant design parameters.
The narrow gaps, however, make the control and prediction of the process much more complex than normal ECM.
It uses only one prediction of the process output J time intervals ahead to compute the correspondent future error.
Casting simulation can effectively overcome these difficulties and provide powerful tool for prediction of the process growth.
Our analysis focuses on studies of transport mechanisms, strategies for determining the material parameters and prediction of the process.
The model relates the measured MQW parameters directly to MOCVD process parameters, allowing an accurate prediction of the process parameters required to grow a specified MQW design.
Various ANN configurations were considered with changing hidden layers, nodes and activation functions to determine the optimum model for the prediction of the process.
This research aims at finding a valuable knowledge on these factors by prediction of the process through a novel combinatory model.
