Revisiting the Problem of Weight Initialization for Multi-Layer Perceptrons Trained with Back Propagation.
Stavros P. AdamDimitrios A. KarrasMichael N. VrahatisPublished in: ICONIP (2) (2008)
Keyphrases
- multi layer perceptron
- back propagation
- artificial neural networks
- neural network
- weight update
- bp algorithm
- feed forward
- multilayer perceptron
- hidden layer
- backpropagation algorithm
- radial basis function
- feed forward neural networks
- training algorithm
- trained neural network
- neural network model
- feedforward neural networks
- activation function
- bp neural network
- neural nets
- fuzzy logic
- radial basis function network
- connection weights
- multilayer perceptron neural network
- rbf network
- cascade correlation
- computational intelligence
- bp network
- machine learning
- genetic algorithm
- levenberg marquardt
- support vector machine
- pattern recognition
- multi layer neural network
- multilayer neural network
- radial basis function neural network
- rbf neural network
- self organizing maps
- fault diagnosis
- recurrent neural networks
- state space
- real time