Using Radial Basis Function and Back Propagation to predicate fault in a railway dangerous goods transportation system considering the Markov Correction.
Wencheng HuangLuohao SunZhenlong YangYanhui YinPublished in: Appl. Soft Comput. (2023)
Keyphrases
- back propagation
- radial basis function
- artificial neural networks
- neural network
- rbf network
- fault diagnosis
- hidden layer
- rbf neural network
- multilayer perceptron
- feed forward
- bp neural network
- training algorithm
- feed forward neural networks
- bp algorithm
- activation function
- function approximation
- fuzzy logic
- learning algorithm
- neural nets
- radial basis
- feedforward neural networks
- support vector
- multi layer perceptron
- expert systems
- radial basis function neural network
- pattern recognition
- decision making
- neural network model
- input variables
- artificial intelligence
- support vector machine svm
- least squares
- hidden units
- rbf kernel
- machine learning