Backpropagation Through States: Training Neural Networks with Sequentially Semiseparable Weight Matrices.
Matthias KisselMartin GottwaldBiljana GjeroskaPhilipp PauknerKlaus DiepoldPublished in: EPIA (2022)
Keyphrases
- back propagation
- training algorithm
- neural network
- backpropagation algorithm
- feed forward neural networks
- feedforward neural networks
- feed forward
- error back propagation
- weight matrices
- artificial neural networks
- multilayer neural network
- multilayer perceptron
- multilayer perceptron neural network
- hidden layer
- neural nets
- bp algorithm
- cascade correlation
- bp neural network
- activation function
- training patterns
- learning algorithm
- trained neural network
- multi layer perceptron
- connection weights
- fuzzy logic
- extreme learning machine
- levenberg marquardt
- backpropagation neural network
- weight matrix
- neural network ensemble
- backpropagation neural networks
- genetic algorithm
- training process
- recurrent neural networks
- error function
- network architecture
- learning rate
- machine learning
- radial basis function
- back propagation neural network
- competitive learning
- neural network model