Determining Neuronal Number in Each Hidden Layer Using Earthquake Catalogues as Training Data in Training an Embedded Back Propagation Neural Network for Predicting Earthquake Magnitude.
Jyh-Woei LinChun-Tang ChaoJuing-Shian ChiouPublished in: IEEE Access (2018)
Keyphrases
- back propagation neural network
- hidden layer
- training data
- radial basis function neural network
- small number
- number of hidden layers
- training algorithm
- data sets
- supervised learning
- feedforward neural networks
- feed forward neural networks
- training set
- decision trees
- support vector machine
- data fusion
- learning rate
- activation function
- neural network
- semi supervised
- radial basis function
- probabilistic model
- multi objective
- feature space
- feature selection