1 천승만, "제조로봇 고장예지진단을 위한 오픈소스기반 스마트 제조 빅데이터 플랫폼 구현" 대한임베디드공학회 14 (14): 187-195, 2019
2 박준영, "실시간 범죄 예측을 위한 랜덤포레스트 알고리즘 기반의 범죄 유형 분류모델 및 모니터링 인터페이스 디자인 요소 제안" 한국정보과학회 22 (22): 455-460, 2016
3 한상태, "노인 장기요양보험의 등급판정을 위한 의사결정나무 연구" 한국통계학회 18 (18): 137-146, 2011
4 배성완, "기계 학습을 이용한 공동주택 가격 추정: 서울 강남구를 사례로" 한국부동산분석학회 24 (24): 69-85, 2018
5 이영현, "Seq2Seq 모델 기반의 로봇팔 고장예지 기술" 한국정보전자통신기술학회 12 (12): 242-250, 2019
6 L. Breiman, "Random forests" 45 (45): 5-32, 2001
7 J. H. Jang, "Propose the method for monitoring of LCD conveyance robot condition using vibration signal" 584-585, 2011
8 J. Lee, "Prognostics and health management design for rotary machinery systems-Reviews, methodology and applications" 42 (42): 314-334, 2014
9 P. Cao, "Preprocessingfree gear fault diagnosis using small datasets with deep convolutional neural network-based transfer learning" 2018 (2018): 26241-26253, 2018
10 S. P. Curram, "Neural networks, decision tree induction and discriminant analysis : An empirical comparison" 45 (45): 440-450, 1994
1 천승만, "제조로봇 고장예지진단을 위한 오픈소스기반 스마트 제조 빅데이터 플랫폼 구현" 대한임베디드공학회 14 (14): 187-195, 2019
2 박준영, "실시간 범죄 예측을 위한 랜덤포레스트 알고리즘 기반의 범죄 유형 분류모델 및 모니터링 인터페이스 디자인 요소 제안" 한국정보과학회 22 (22): 455-460, 2016
3 한상태, "노인 장기요양보험의 등급판정을 위한 의사결정나무 연구" 한국통계학회 18 (18): 137-146, 2011
4 배성완, "기계 학습을 이용한 공동주택 가격 추정: 서울 강남구를 사례로" 한국부동산분석학회 24 (24): 69-85, 2018
5 이영현, "Seq2Seq 모델 기반의 로봇팔 고장예지 기술" 한국정보전자통신기술학회 12 (12): 242-250, 2019
6 L. Breiman, "Random forests" 45 (45): 5-32, 2001
7 J. H. Jang, "Propose the method for monitoring of LCD conveyance robot condition using vibration signal" 584-585, 2011
8 J. Lee, "Prognostics and health management design for rotary machinery systems-Reviews, methodology and applications" 42 (42): 314-334, 2014
9 P. Cao, "Preprocessingfree gear fault diagnosis using small datasets with deep convolutional neural network-based transfer learning" 2018 (2018): 26241-26253, 2018
10 S. P. Curram, "Neural networks, decision tree induction and discriminant analysis : An empirical comparison" 45 (45): 440-450, 1994
11 A. C. Bittencourt, "Modeling and identification of wear in a robot joint under temperature uncertainties" 44 (44): 10293-10299, 2011
12 M. Zhao, "Instantaneous speed jitter detection via encoder signal and its application for the diagnosis of planetary gearbox" 98 : 16-31, 2018
13 R. N. A. Algburi, "Health assessment and fault detection system for an industrial robot using the rotary encoder signal" 12 (12): 2816-, 2019
14 D. W. Ruck, "Feature selection using a multilayer perceptron" 2 (2): 40-48, 1990
15 Y. Liu, "Fault diagnosis of power transformer based on tree ensemble model" 715 (715): 2020
16 Z. Guo, "Fault diagnosis of motor based on VMD-sample entropy-random forest" 1345 (1345): 2019
17 A. A. Jaber, "Fault diagnosis of industrial robot gears based on discrete wavelet transform and artificial neural network" 58 (58): 179-186, 2016
18 K. Bhakta, "Fault diagnosis of induction motor bearing using cepstrum-based preprocessing and ensemble learning algorithm" 2019
19 C. Deb, "Fault diagnosis of a single point cutting tool using statistical features by random forest classifier" 9 (9): 1-8, 2016
20 C. Krauss, "Deep neural networks, gradient-boosted trees, random forests : Statistical arbitrage on the S&P 500" 259 (259): 689-702, 2017
21 T. Borgi, "Data analytics for predictive maintenance of industrial robots" 2017
22 H. Yoon, "DBSCAN parameter optimization of predictive maintenance system for wafer transfer robot using design of experiment" Myongji University 2019
23 E. Raczko, "Comparison of support vector machine, random forest and neural network classifiers for tree species classification on airborne hyperspectral APEX images" 50 (50): 144-154, 2017
24 I. Nitze, "Comparison of machine learning algorithms random forest, artificial neural network and support vector machine to maximum likelihood for supervised crop type classification" 035-, 2012
25 S. Nawar, "Comparison between random forests, artificial neural networks and gradient boosted machines methods of on-line Vis-NIR spectroscopy measurements of soil total nitrogen and total carbon" 17 (17): 2428-, 2017
26 G. Xu, "Bearing fault diagnosis method based on deep convolutional neural network and random forest ensemble learning" 19 (19): 1088-, 2019