Recurrent Neural Networks (RNNs) with dimensionality reduction and break down in computational mechanics; application to multi-scale localization step.
Ling WuLudovic NoelsPublished in: CoRR (2021)
Keyphrases
- recurrent neural networks
- dimensionality reduction
- multiscale
- neural network
- feed forward
- recurrent networks
- long short term memory
- reservoir computing
- artificial neural networks
- cascade correlation
- neural model
- echo state networks
- complex valued
- hidden layer
- feedforward neural networks
- data mining
- nonlinear dynamic systems
- preprocessing step
- regression model
- high dimensional
- principal component analysis
- long term
- data representation
- artificial intelligence
- machine learning
- structure preserving
- feature extraction