최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국기계가공학회지 = Journal of the Korean Society of Manufacturing Process Engineers, v.20 no.9, 2021년, pp.90 - 96
최수진 (한국폴리텍VII대학 스마트융합금형과) , 이동주 (공주대학교 산업시스템공학과) , 황승국 (한국폴리텍VII대학 기계시스템과)
As real-time data of factories can be collected using various sensors, the adaptation of intelligent unmanned processing systems is spreading via the establishment of smart factories. In intelligent unmanned processing systems, data are collected in real time using sensors. The equipment is controll...
Wu, D., Jennings, C., Terpenny, J., Gao, R. X., & Kumara, S., "A Comparative Study on Machine Learning Algorithms for Smart Manufacturing : Tool Wear Prediction Using Random Forests", Journal of Manufacturing Science and Engineering, Vol. 139, No. 7, pp. 071018, 2017.
Lee, C. S., Heo, E. Y., Lee, D. Y., Kim, J. M., Lee, H. G., "Tool Wear Monitoring System Considering the Tool Path Pattern", Korean Society for Precision Engineering, Vol. 70, pp. 1106-1106, 2015.
Smola, A. J. and Scholkopf, B., "A tutorial on support vector regression", Statistics and Computing Vol. 14, No. 3, pp. 199-222, 2004.
Paniagua-Tineo, A., Salcedo-Sanz, S., Casanova-Mateo, C., Ortiz-Garcia, E. G., Cony, M. A., & Hernandez-Martin, E. "Prediction of daily maximum temperature using a support vector regression algorithm", Renewable Energy, Vol. 36, No. 11, pp. 3054-3060, 2011.
Zhong, H., Wang, J., Jia, H., Mu, Y., & Lv, S., "Vector field-based support vector regression for building energy consumption prediction", Applied Energy, Vol. 242, pp. 403-414, 2019.
Parbat, D., & Chakraborty, M., "A python based support vector regression model for prediction of COVID19 cases in India", Chaos, Solitons & Fractals, Vol. 138, 2020.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.