Quality control of data in real time and determination of u00e1ngulos training from measurement of induction of multiple components using neural networks

摘要

Quality control of data in real time and determination of u00e1ngulos training from measurement of the induction of multiple components using neural networks.The present invention relates to neural networks that can be used to determine and predict the formation of angles of inclination and perform quality assurance assessments from data collected by an induction tool with multiple components used for profiling of P. Bones.The neural networks make use of corrected data, rotated and normalized to provide forecasts and assessments. The synthetic data using several models are used to train the neural networks. The teachings of the present invention provide determinations in real time with a substantial degree of accuracy in the results.