딥러닝을 이용한 컨베이어 시스템의 배출구 막힘 상태 판단 기술에 관한 연구
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저자
정의한
서영주
김동주
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제어번호
106867906
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학술지명
韓國컴퓨터情報學會論文誌
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권호사항
Vol.
25
No.
5
[
2020
]
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발행처
한국컴퓨터정보학회
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발행처 URL
http://www.ksci.re.kr
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자료유형
학술저널
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수록면
11-18
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언어
Korean
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출판년도
2020
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등재정보
KCI등재
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판매처
'
딥러닝을 이용한 컨베이어 시스템의 배출구 막힘 상태 판단 기술에 관한 연구' 의 참고문헌
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Very deep convolutional networks for large-scale image recognition
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Optimally splitting cases for training and testing high dimensional classifiers
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Neural Architecture Search with Reinforcement Learning
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Models for image classification with weights trained on ImageNet
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Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
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Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning
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Learning Transferable Architectures for Scalable Image Recognition
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Gradinet Vanishing and Exploding
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Gradient-based learning applied to document recognition
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Device for preventing chute clogging, 10-1635986
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Densely Connected Convolutional Networks
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Deep Residual Learning for Image Recognition
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Deep Learning for Archaeological Object Detection in Airborne Laser Scanning Data
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DEVICE FOR PREVENTING CHUTE CLOGGING, 10-1968857
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Convolutional Neural Network
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CondenseNet: An Efficient DenseNet Using Learned Group Convolutions
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CS231n Convolutional Neural Networks for Visual Recognition
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Backpropagation Applied to Handwritten Zip Code Recognition
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Apparatus and method for preventing a bin chute from being clogging, 10-1543590
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APPARATUS FOR DETECTING CLOGGI NG OF COKE BIN CHUTE, 10-1289420
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ANTI-CLOG CHUTE, 10-1289150
'
딥러닝을 이용한 컨베이어 시스템의 배출구 막힘 상태 판단 기술에 관한 연구'
의 유사주제(
) 논문