@inproceedings{6bb96344602f43718f0be714fde13276,
title = "Development of Virtual Milling System Using Data Fusion and Transfer Learning",
abstract = "This study designs the virtual milling system to estimate the practical milling accuracy and surface roughness. Since it is difficult to collect large number of measured data from milling, we collect the data is with milling and data without milling by experiment design. The proposed virtual milling system has the ability to find the relationship between computer numerical control (CNC) milling parameters and performance indexes, we utilize the back propagation neural network (BPNN) to establish the first stage virtual milling system by calculated data (without milling), then fuse the practical milling data by transfer learning approach. Finally, the experimental results are shown to demonstrate the performance of the virtual milling system.",
keywords = "CNC, Milling parameter, fusion, neural network, transfer learning",
author = "Kuo, {We Feng} and Huang, {Bo Min} and Lee, {Ching Hung}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 1st International Conference on Pervasive Artificial Intelligence, ICPAI 2020 ; Conference date: 03-12-2020 Through 05-12-2020",
year = "2020",
month = dec,
doi = "10.1109/ICPAI51961.2020.00054",
language = "English",
series = "Proceedings - 2020 International Conference on Pervasive Artificial Intelligence, ICPAI 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "253--257",
booktitle = "Proceedings - 2020 International Conference on Pervasive Artificial Intelligence, ICPAI 2020",
address = "美國",
}