NEURAL NETWORK APPLICATION FOR PHASECHRONOMETRIC MEASUREMENT INFORMATION PROCESSING

摘要

This paper reports the application of neural networks in various fields of activity. In specific, it describes the use of neural networks to process phasechronometric measurement information. The novelty of the proposed approach lies in the choice of a classification attribute and the use of a perceptron algorithm for binary classification. The simplest binary classification of the lathe operating modes (idle or cutting) is presented.