최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기사물인터넷융복합논문지 = Journal of internet of things and convergence, v.8 no.5, 2022년, pp.11 - 16
김기태 (목원대학교 정보통신융합공학부) , 민병원 (목원대학교 정보통신공학과) , 오용선 (목원대학교 정보통신공학과)
As an interest in the development of artificial intelligence(AI) technology in the water supply sector increases, we have developed an AI algorithm that can predict improvement decision-making ratings through repetitive learning using the data of pipe condition evaluation results, and present the mo...
"Waterworks Standards", Korea Water and Wastewater Association, p2, 2010.
S M Lee and D S Kang, "Water pipe deterioration assessment using ANN-Clustering", Journal of the Korean Water Resources Association, pp959-960, 2018
Y R Choi and K H Kim, "Artificial Intelligence Overview and Application Cases", ie Magazine , p23, 2016.
S B Cho and J H Kim, "Computational Complexity of Artificial Neural Networks", Korean Institute of Information Scientists and Engineers, pp.315-318, 1989.
Y I Cho1, M J Oh, Y S Seok, S J Lee and M I Roh, "Resistance Estimation of a Ship in the Initial Hull Design Using Deep Learning", Korean Journal of Computational Design and Engineering, pp.203-210, 2019.
Cybenko, George. "Approximation by Superpositions of a Sigmoidal Function." Mathematics of Control, Signals, and Systems, pp.303-314, 1989.
S R Jo, H N Sung and B H Ahn, "A Comparative Study on the Performance of SVM and an Artificial Neural Network in Intrusion Detection", Journal of the Korea Academia-Industrial cooperation Society, pp.703-711, 2016.
C W Lee, S J Hong, J S Park and D G Yoo, "Assessment of Water Supply Pipes Deterioration Based on Deep Learning", Journal of the Korean Society of Civil Engineers, pp.62-63, 2020.
"Water Pipeline Precision Investigation Manual(Draft)", Ministry of Environment, pp.10-24, 2020.
K H Han, Y J Ryu, T S Kim and J H Heo, "Input Variables Selection of Artificial Neural Network Using Mutual Information", Korea Water Resources Assocition, pp.85-87, 2010.
H K Park, J S Lee, W H Song and S S Park, "Technology Forecasting using Patent Outlier Remova", Journal of the Korean Institute of Intelligent Systems, pp.177-184, 2018.
Y M Go, S W Go, "Alleviation of Vanishing Gradient Problem Using Parametric Activation Functions" Journal of the Korea Information Processing Society, pp.407-420, 2021.
"A Report on the Schematic Plan for the Improvement of the Aged Water Pipeline", Korea Water Resources Corporation, 2021.
J Y Seo, "Deep Learning TensorFlow Textbook", Gilbut, p.25, 2021.
S M An, "Deep learning architectures and applications" Journal of the Korea Intelligent Information Systems Society, pp.127-142, 2016.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.