A Bayesian regularization-backpropagation neural network model for peeling computations.
Saipraneeth GouravarajuJyotindra NarayanRoger A. SauerSachin Singh GautamPublished in: CoRR (2020)
Keyphrases
- neural network model
- back propagation
- artificial neural networks
- neural network
- feed forward
- multilayer perceptron
- connection weights
- input variables
- training algorithm
- hidden layer
- feed forward neural networks
- bp neural network
- neural nets
- trained neural network
- bp algorithm
- rbf neural network
- backpropagation algorithm
- network architecture
- feedforward neural networks
- multi layer perceptron
- backpropagation neural networks
- backpropagation neural network
- fuzzy logic
- cascade correlation
- multilayer perceptron neural network
- genetic algorithm
- levenberg marquardt
- activation function
- back propagation neural network
- rbf network
- learning rules
- bp network
- hybrid model
- self organizing maps
- multi layer neural network
- multi layer
- neural network ensemble
- error back propagation
- support vector machine
- knowledge base
- learning algorithm