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藉由行為分解達到安全的人工智慧(2/4)
Baltes, Hansjoerg Jacky
(PI)
電機工程學系
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INIS
learning
100%
robots
83%
cars
66%
neural networks
50%
vision
33%
motion
33%
radioactive wastes
16%
weight
16%
architecture
16%
errors
16%
roads
16%
classification
16%
losses
16%
neurons
16%
maintenance
16%
applications
16%
computers
16%
images
16%
performance
16%
snow
16%
contamination
16%
decision tree analysis
16%
hybrids
16%
calculation methods
16%
wastes
16%
nuclear power plants
16%
safety
16%
Computer Science
Deep Learning Method
100%
Trained Network
75%
Artificial Intelligence
75%
Internal Structure
50%
Neural Network
50%
Floating-Point Number
25%
Face Recognition
25%
Popular Approach
25%
Reinforcement Learning
25%
Benign Application
25%
Decision Tree
25%
Hybrid Approach
25%
Convolutional Neural Network
25%
Deep Learning Technique
25%
Classification Problem
25%
Robot
25%
Recognition System
25%
Computer Vision
25%
Engineering
Deep Learning Method
100%
Artificial Intelligence
60%
Internal Structure
40%
Robot System
40%
Robot
20%
Road
20%
Reinforcement Learning
20%
Learning Technique
20%
Stop Sign
20%
Convolutional Neural Network
20%
Hybrid Approach
20%
Black Box
20%
Rule-Based System
20%
Classification Problem
20%
Nuclear Power Plant
20%
Floating Point Number
20%
Computervision
20%
Main Program
20%