Engineering
Scale Structure
100%
Surrogate Model
100%
Full Scale
100%
Deep Neural Network
100%
Artificial Neural Network
100%
Predictive Capability
50%
Finite Element Modeling
40%
Structural Damage
40%
Transfer Function
25%
Regularization
25%
Bayesian Model
25%
Generality
25%
Deep Learning
25%
Input Feature
25%
Manufacturing Cost
25%
Predictive Ability
25%
Measured Data
20%
Applicability
20%
State-of-the-Art Technique
20%
Limited Number
20%
Damage Detection
20%
Numerical Example
20%
Measurement Data
20%
Keyphrases
Data Prediction
100%
Tool Wear
100%
Bayesian Regularized Artificial Neural Network
100%
In-house Database
33%
Data Training
33%
Feature Training
33%
Milling Tool
33%
Network Regularization
33%
Transfer of Training
33%
Training Algorithm
33%
Manufacturing Cost
33%
Hidden Unit
33%
Bayesian Regularization
33%
