State estimation for induction machines using an neural network backpropagation technique.
Marcos F. S. V. D'AngeloPyramo P. Costa Jr.Published in: SMC (2000)
Keyphrases
- back propagation
- state estimation
- neural network
- artificial neural networks
- feed forward
- feed forward neural networks
- training algorithm
- extended kalman filter
- kalman filter
- backpropagation neural network
- multilayer perceptron
- trained neural network
- bp algorithm
- kalman filtering
- bp neural network
- dynamic systems
- hidden layer
- particle filter
- backpropagation algorithm
- learning algorithm
- neural nets
- fuzzy logic
- feedforward neural networks
- cascade correlation
- visual tracking
- activation function
- particle filtering
- backpropagation neural networks
- radial basis
- connection weights
- multilayer perceptron neural network
- levenberg marquardt
- multi layer neural network
- real time
- neural network model
- artificial intelligence
- machine learning
- neural network ensemble
- dynamic programming
- data fusion
- feature selection
- mlp neural networks
- multi layer perceptron
- network architecture