Combination of radial basis function (RBF) and time delayed neural networks (TDNN) for fault diagnosis of automobile transmission gears using general parameter learning and adaptation.
Shingo SatohFuminori YakuwaYasuhiko DotePublished in: SMC (2003)
Keyphrases
- fault diagnosis
- radial basis function
- neural network
- rbf neural network
- parameter learning
- rbf network
- artificial neural networks
- fuzzy logic
- bp neural network
- expert systems
- fault detection
- hidden layer
- multilayer perceptron
- activation function
- bayesian networks
- multi layer perceptron
- pattern recognition
- training algorithm
- support vector machine svm
- back propagation
- support vector
- neural network model
- basis functions
- structure learning
- rbf kernel
- feed forward
- conditional random fields
- parameter estimation
- state space
- data points