Modelling the glucose metabolism with backpropagation through time trained Elman nets.
Edgar TeufelMarco KlettingWerner G. TeichHans-Jörg PfleidererC. Tarin-SauerPublished in: NNSP (2003)
Keyphrases
- back propagation
- hidden layer
- multilayer perceptron
- artificial neural networks
- elman network
- backpropagation algorithm
- trained neural network
- multilayer neural network
- multilayer perceptron neural network
- neural network
- feed forward
- neural network model
- recurrent neural networks
- training algorithm
- feedforward neural networks
- multi layer perceptron
- feed forward neural networks
- bp algorithm
- levenberg marquardt
- bp neural network
- learning algorithm
- activation function
- neural nets
- recurrent networks
- connection weights
- fuzzy logic
- error back propagation
- rbf network
- control algorithm
- radial basis function
- backpropagation neural network
- backpropagation neural networks
- artificial intelligence
- elman neural network
- genetic algorithm
- training set
- back propagation neural network
- simulated annealing
- radial basis
- cascade correlation
- data mining