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
在 國立陽明交通大學研發優勢分析平台 搜尋內容
首頁
人員
單位
研究成果
計畫
獎項
活動
貴重儀器
影響
A novel approach for high-level power modeling of sequential circuits using recurrent neural networks
Wen Tsan Hsieh
, Chih Chieh Shiue
,
Chien-Nan Liu
電子研究所
研究成果
:
Conference article
›
同行評審
9
引文 斯高帕斯（Scopus）
總覽
指紋
指紋
深入研究「A novel approach for high-level power modeling of sequential circuits using recurrent neural networks」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Engineering
Power Level
100%
Sequential Circuits
100%
Recurrent Neural Network
100%
Experimental Result
50%
Energy Dissipation
50%
Output Signal
50%
Input Sequence
50%
Power Distribution
50%
Signal Statistic
50%
Temporal Correlation
50%
Flip Flop Circuits
50%
Keyphrases
Recurrent Neural Network
100%
Power Model
100%
Sequential Circuits
100%
Power Modeling
100%
Input-output
40%
Power Dissipation
20%
Output Signal
20%
Small Variation
20%
Nonlinear Characteristics
20%
Short Sequence
20%
Input Sequence
20%
Temporal Correlation
20%
Signal Statistics
20%
Circuit Size
20%
Complex Circuit
20%
Flip-flop
20%
Power Distribution
20%
Computer Science
Recurrent Neural Network
100%
Input/Output
100%
Sequential Circuit
100%
Experimental Result
50%
Power Distribution
50%
Temporal Correlation
50%
Energy Dissipation
50%
Chemical Engineering
Recurrent Neural Network
100%