Structural reliability analysis based on neural networks with physics-informed training samples.
Zhiwei BaiShufang SongPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- training samples
- reliability analysis
- neural network
- training data
- number of training samples
- training set
- feature space
- supervised learning
- hyperplane
- test sample
- pattern recognition
- high dimensional
- learning algorithm
- fault diagnosis
- artificial intelligence
- artificial neural networks
- fuzzy logic
- face images
- representative samples
- base classifiers
- condition monitoring
- genetic algorithm
- support vector machine
- video sequences
- support vector machine svm
- high quality
- similarity measure
- fuzzy systems
- sample set
- machine learning
- real world
- data sets