최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국재난정보학회논문집 = Journal of the Society of Disaster Information, v.17 no.2 = no.52, 2021년, pp.254 - 265
나용현 (SH Tech & Policy Institute Co.) , 박미연 (SH Tech & Policy Institute Co.) , 장신우 (RaonX Solutions Inc.)
Purpose: Inspection and diagnosis on the performance and safety through domestic port facilities have been conducted for over 20 years. However, the long-term development strategies and directions for facility renewal and performance improvement using the diagnosis history and results are not workin...
Belyaev, M., Burnaev, E., Kapushev, Y. (2015). "Gaussian process regression for structured data sets." Lecture Notes in Artificial Intelligence, International Symposium on Statistical Learning and Data Sciences, Vol. 9047, pp. 106-115.
Belyaev, M., Burnaev, E., Kapushev, Y. (2016). "Computationally efficient algorithm for Gaussian Process regression in case of structured samples." Computational Mathematics and Mathematical Physics, Vol. 56, No. 4, pp. 499-513.
Burnaev, E., Panov, M.. Zaytsev, A. (2016). "Regression on the basis of non-stationary gaussian processes with bayesian regularization." Journal of Communications Technology and Electronics, Vol. 61, pp. 661-671.
Burnaev, E., Zaytsev, A. (2015). "Surrogate modeling of mutlidelity data for large samples." Journal of Communications Technology & Electronics, Vol. 60, pp. 1348-1355.
Kim, H.J., Ju, G.N., Yun, C.H. (2012). "Science big data processing technology trend." The Korea Institute of Information and Commucation Engineering, Vol. 29, No. 11, pp. 11-23.
Kim, S.W., Cha, K.H., Kim, J.H., Park, M.Y., Kong, J.S. (2012). "Development of condition state model for open type wharf considering deterioration factors." Korean Society of Civil Engineers, Vol. 28, No.3, pp. 2138-2141.
Rasmussen, C.E. (2004). Gaussian Processes for Machine Learning. MIT Press, Massachusetts, USA, pp. 63-71.
Rasmussen, C.E., Williams, C.K.I. (2005). Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning), The MIT Press, Massachusetts, US.
Song, M.G., Kim, S.B. (2013). "A study of improving reliability on prediction model by analyzing method big data." The Journal of Digital Policy & Management, Vol. 11, pp. 103-112.
Port Association (2010). Unit Model Development for LCC Analysis Program at Port Facility Design Stage, p. 40.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
오픈액세스 학술지에 출판된 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.