Academic Journal of Architecture and Geotechnical Engineering, 2022, 4(1); doi: 10.25236/AJAGE.2022.040101.
Ke Xu
China University of Geosciences, Wuhan 430074, Hubei, China
In recent years, mechanical engineers have improved the machining accuracy and machining efficiency by different techniques. This paper studied the rough diamond machining process based on neural network. By using the RBF neural network algorithm, in the process of machining, automatic selection of the appropriate machining parameters without human intervention effectively has improved the machining precision and speed which has demonstrable effect.
Neural network, Rough diamond machining, Processing technology, RBF neural network
Ke Xu. Rough Diamond Machining Process Based on Neural Network. Academic Journal of Architecture and Geotechnical Engineering (2022) Vol. 4, Issue 1: 1-6. https://doi.org/10.25236/AJAGE.2022.040101.
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