• Anirban Chakraborty
• Bhupinder Kaur
• Ruchika

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.

Artificial Neural Network, ANN,EDM

"Artificial Neural Network in a General Perspective", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.696-700, October 2018, Available :http://www.jetir.org/papers/JETIRDQ06098.pdf

"Artificial Neural Network in a General Perspective", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp696-700, October 2018, Available at : http://www.jetir.org/papers/JETIRDQ06098.pdf