Precision Obtained Using an Artificial Neural Network for Predicting the Material Removal Rate in Ultrasonic Machining
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DOI: 10.3390/app7121268
Abstract: The present study proposes a back propagation artificial neural network (BPANN) to provide improved precision for predicting the material removal rate (MRR) in ultrasonic machining. The BPANN benefits from the advantage of artificial neural networks… read more here.
Keywords: neural network; predicting material; artificial neural; precision ... See more keywords