Abstract
The purpose of this article is to present the application of neural network for modeling electric discharge machining process. This article highlights the various aspects of neural network modeling with specific regard to EDM process. Experimental data has been used to train the neural network by back-propagation. Prediction ability of the trained model has been verified experimentally and the reported results indicate that proposed neural network model can successfully predict the output for a given set of input.
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Bharti, P.S., Maheshwari, S., Sharma, C. (2011). Neural-Network- Based Modeling of Electric Discharge Machining Process. In: Corchado, E., Snášel, V., Sedano, J., Hassanien, A.E., Calvo, J.L., Ślȩzak, D. (eds) Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011. Advances in Intelligent and Soft Computing, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19644-7_11
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DOI: https://doi.org/10.1007/978-3-642-19644-7_11
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