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西北工业大学 国内
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FENet: A Feature Explanation Network with a Hierarchical Interpretable Architecture for Intelligent Decision-Making
Chenfeng Wang,
Xiaoguang Gao
, Xinyu Li,
Bo Li
, Kaifang Wan
电子信息学院
Northwestern Polytechnical University Xian
科研成果
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探究 'FENet: A Feature Explanation Network with a Hierarchical Interpretable Architecture for Intelligent Decision-Making' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Interpretability
100%
Intelligent Decision Making
100%
Deep Learning Method
66%
Feature Extraction
50%
Deep Learning Model
33%
Decision-Making
16%
Unmanned Aerial Vehicle
16%
Bayesian Network
16%
Network Architecture
16%
Processing Method
16%
Probabilistic Graphical Model
16%
Intrusion Detection
16%
Implementation Process
16%
Engineering
Deep Learning Method
100%
Feature Extraction
50%
Making Problem
33%
Unmanned Aerial Vehicle
16%
Processing Method
16%
Practical Problem
16%
Final Result
16%
Features Detection
16%
Bayesian Model
16%
Feature Model
16%
Implementation Process
16%
Neuroscience
Decision-Making
100%
Decision-Making Process
25%
Chemical Engineering
Deep Learning Method
100%