An improvement of a back propagation algorithm by the extended Kalman filter and demand forecasting by layered neural networks.
Aritoshi KimuraIkuo ArizonoHiroshi OhtaPublished in: Int. J. Syst. Sci. (1996)
Keyphrases
- back propagation
- neural network
- training algorithm
- extended kalman filter
- levenberg marquardt
- bp algorithm
- artificial neural networks
- learning algorithm
- feed forward neural networks
- feed forward
- multilayer perceptron
- activation function
- weight update
- kalman filter
- neural nets
- training process
- least squares
- rbf network
- error function
- improved algorithm
- optimization algorithm
- bp neural network
- target tracking
- hidden layer
- convergence rate
- fault diagnosis
- fuzzy logic
- reinforcement learning
- machine learning