Computer Science
multi sensor
100%
Classification Models
100%
Structural Health
100%
Machine Learning
50%
Case Study
50%
And-States
50%
Learning Process
50%
Classification Method
50%
Boltzmann Machine
50%
Popular Approach
50%
Network Structures
50%
Engineered System
50%
Successive Layer
50%
Keyphrases
Network Applications
100%
State Classification
100%
Structural Health Assessment
100%
Deep Belief Network
100%
Health Status
33%
Health Diagnosis
33%
Multi-sensor
22%
Classification Model
22%
Diagnostic Process
22%
Network Classification
22%
Hierarchical Structure
11%
Popular
11%
Health Diagnostics
11%
Learning Process
11%
Sensory Data
11%
Cost Reduction
11%
Reliability Cost
11%
Increased Safety
11%
Complex Engineered Systems
11%
Machine Learning
11%
Classification Methods
11%
Fast Inference
11%
Network Training
11%
Increased Reliability
11%
Network Testing
11%
Successive Learning
11%
Restricted Boltzmann Machine
11%
High-order Network Structure
11%
Engineering
Structural Health
100%
Deep Belief Network
100%
Boltzmann Equation
11%
Operation and Maintenance
11%
Classification Method
11%
Network Training
11%