@article{Романюк_2016, title={A method of resume-training of discontinuous wear state trackers for composing boosting high-accurate ensembles needed to regard statistical data inaccuracies and shifts}, volume={77}, url={https://tribology.khnu.km.ua/index.php/ProbTrib/article/view/458}, abstractNote={For tracking metal wear states at bad statistical data inaccuracies and shifts, there is a method of resume-training of discontinuous wear state trackers for boosting them within high-accurate ensembles. These trackers are Gaussian-noised-data-trained two-layer perceptrons. An ordinary tracker is selected and, if its performance is satisfactory, it is resumed-trained cyclically. Number of additional passes of training sets is limited. The resume-training procedure wholly can be cycled.}, number={3}, journal={Problems of Tribology}, author={Романюк, В.В.}, year={2016}, month={Feb.}, pages={19–22} }