Effects of weight discretization on the back propagation learning method: algorithm design and hardware realization.
Daniele D. CavigliaMaurizio ValleGiacomo M. BisioPublished in: IJCNN (1990)
Keyphrases
- learning algorithm
- back propagation
- levenberg marquardt
- training algorithm
- weight update
- bp algorithm
- feed forward neural networks
- cost function
- improved algorithm
- neural nets
- optimization algorithm
- neural network
- feedforward neural networks
- learning rules
- learning scheme
- bp neural network
- support vector machine svm
- training process
- objective function
- multilayer neural network
- ant colony algorithm
- steepest descent method
- convergence rate
- input data
- multi layer
- mathematical model
- artificial neural networks
- decision making
- rbf network
- weight vector
- least squares
- radial basis function neural network
- genetic algorithm
- error back propagation
- bp network
- stochastic gradient descent
- multi objective
- probabilistic model
- error function
- ant colony optimization
- training phase
- feed forward
- multilayer perceptron