跳至主導覽
跳至搜尋
跳過主要內容
國立陽明交通大學研發優勢分析平台 首頁
English
中文
首頁
人員
單位
研究成果
計畫
獎項
活動
貴重儀器
影響
按專業知識、姓名或所屬機構搜尋
Product Quality Prediction with Convolutional Encoder-Decoder Architecture and Transfer Learning
Hao Yi Chih, Yao Chung Fan,
Wen Chih Peng
, Hai Yuan Kuo
資訊工程學系
研究成果
:
Conference contribution
›
同行評審
7
引文 斯高帕斯（Scopus）
總覽
指紋
指紋
深入研究「Product Quality Prediction with Convolutional Encoder-Decoder Architecture and Transfer Learning」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Convolutional Encoder
100%
Encoder-decoder Architecture
100%
Wafer Fabrication
100%
Transfer Learning
100%
Product Quality Prediction
100%
Architecture Learning
100%
Wafer
66%
Manufacturing Process
66%
Knowledge Transfer
66%
Fabrication Quality
66%
Prediction Model
33%
Integrated Circuit Manufacturing
33%
Performance Evaluation
33%
Quality Measures
33%
Manufacturing Cost
33%
Spatial Correlation
33%
Industry 4.0 (I4.0)
33%
Encoder-decoder
33%
Quality Prediction
33%
Crucial Data
33%
Industrial Manufacturing
33%
Manufacturing Applications
33%
Mining Data
33%
Intelligent Manufacturing
33%
Model Interpretability
33%
Data Characteristics
33%
Line Efficiency
33%
Deep Convolutional Model
33%
Intelligent Integrated
33%
Quality Prediction Model
33%
Computer Science
Prediction Model
100%
Product Quality
100%
Transfer Learning
100%
Data Mining
50%
Neural Network
50%
Collected Data
50%
Performance Evaluation
50%
Real Data Sets
50%
Spatial Correlation
50%
Interpretability
50%
Data Characteristic
50%
Manufacturing Cost
50%
Industry 4.0
50%
Efficiency Line
50%
Integrated Circuit
50%
Engineering
Manufacturing Process
100%
Convolutional Encoder
100%
Product Quality
100%
Transfer Learning
100%
Manufacturing Cost
50%
Collected Data
50%
Product Line
50%
Spatial Correlation
50%
Real Data
50%
Line Efficiency
50%
Data Characteristic
50%
Integrated Circuit
50%
Material Science
Electronic Circuit
100%