Training Deep Neural Networks with Low Precision Input Data: A Hurricane Prediction Case Study.
Albert KahiraLeonardo Bautista-GomezRosa M. BadiaPublished in: ISC Workshops (2018)
Keyphrases
- artificial neural networks to predict
- neural network
- case study
- input data
- training algorithm
- training process
- data sets
- training set
- multi layer perceptron
- feed forward neural networks
- deep architectures
- feedforward neural networks
- real world
- feed forward
- self organizing maps
- input image
- feature space
- wind speed
- backpropagation algorithm
- neural network structure
- deep learning
- error back propagation
- learning rate
- radial basis function network
- training phase
- prediction error
- prediction accuracy
- sufficient conditions
- long term
- training data
- genetic algorithm