A new predictive model based on the PSO-optimized support vector machine approach for predicting the milling tool wear from milling runs experimental data
Crossref DOI link: https://doi.org/10.1007/s00170-015-8148-1
Published Online: 2015-12-23
Published Print: 2016-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
García-Nieto, P. J.
García-Gonzalo, E.
Vilán Vilán, J. A.
Segade Robleda, A.
Text and Data Mining valid from 2015-12-23