1 |
Lee, S.Y., Im, Y. M., 2004, Prediction and Experiments of Cutting Forces in End Milling, Trans. KSMTE, 13:4 9-15.
|
2 |
Smith, S., Tlusty, J., 1993, Efficient Simulation Programs for Chatter in Milling, Int. J. Mach. Tool Des. Res., 35:7 939-950.
|
3 |
Kline, W. A., DeVor, R. E., Lindberg, J. R., 1982, The Prediction of Cutting Forces in End Milling with Application to Cornering Cuts, Int. J. Mach. Tool Des. Res., 22:11 7-22.
DOI
|
4 |
An, H. S., 2016, A Study on Split Training and Merging Method for Effective Initialization of Deep Neural Network, A Thesis for a Doctorate, Inha University, Republic of Korea.
|
5 |
Rumelhart, D. E., Hinton, G. E., Williams, R. J., 1986, Learning Representations by Back Propagation Errors, Nature, 323 533-536.
DOI
|
6 |
Shiotsuka, T., Ohta, K., Yoshida, K., Nagamatsu, A., 1993, Identification and Control of Four-wheel-steering Car by Neural Network, Trans. JSME C, 59 708-713.
|
7 |
Cha, Y. H., Kim, I. S., Kim, H. S., Lee, Y. S., Kim, D. J., Sung, B. S., Suh, J. Y., 2000, A Study on the Prediction of Welded Residual Stresses Using Neural Network, Trans. KSMTE, 9:6 89-95.
|
8 |
Hong, S. H., Cho, S. S., Joo, W. S., 2001, A Study on Fatigue Damage Model Using Neural Network, Trans. KSMTE, 10:4 14-21.
|
9 |
Fukuda, T., Kurihara, T., Tokita, M., Mitsuoka, T., 1990, Position and Force Hybrid Control of Robotic Manipulator by Neural Network, Trans. JSME C, 56 1854-1860.
DOI
|
10 |
Lee, S. Y., 2003, Vibration Prediction in Milling Process by Using Neural Network, Trans. KSMTE, 12:5 1-7.
|