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Artificial Neural Network in a General Perspective

This paper provides a short review of the Artificial Neural Network (ANN) prediction methodology. It is used to maximize the predictability of the model with less experimental data dependency. In addition to various ANN training courses, the basic steps in MATLAB are recorded. The preparation is directed at reducing average error. The ANN model can effectively be used to forecast performance parameters that help pick the process preparation and optimization of the machining parameters optimally.