Online evolutionary recognition algorithm for chatter based on
Maoyue Li's research works Harbin University of Science and Technology and other places
777306 PDFs Review articles in MACHINE LEARNING
On-line evolutionary identification technology for milling chatter of thin walled parts based on the incremental-sparse K-means and the online sequential extreme learning machine
On-line evolutionary identification technology for milling chatter of thin walled parts based on the incremental-sparse K-means and the online sequential extreme learning machine
Graphs of average accuracy calculated on 25 tests of 10 actions and on
PDF) On-line Evolutionary Identification Technology for Milling Chatter of Thin Walled Parts Based on the Incremental-Sparse K-Means and the Online Sequential Extreme Learning Machine
On-line evolutionary identification technology for milling chatter of thin walled parts based on the incremental-sparse K-means and the online sequential extreme learning machine
Experimental stage for capturing the aluminum tube.
Maoyue Li's research works Harbin University of Science and Technology and other places
Experimental setup of K-Means and ISK-Means in performance comparison
Online evolutionary recognition algorithm for chatter based on
Graphs of average accuracy calculated on 25 tests of 10 actions and on
Caixu YUE, associate professor, Doctor of Philosophy, Harbin University of Science and Technology, School of Mechanical and Power Engineering
Online evolutionary recognition algorithm for chatter based on
On-line evolutionary identification technology for milling chatter of thin walled parts based on the incremental-sparse K-means and the online sequential extreme learning machine
