The Deep Arbitrary Polynomial Chaos Neural Network or how Deep Artificial Neural Networks could benefit from Data-Driven Homogeneous Chaos Theory.
Sergey OladyshkinTimothy PraditiaIlja KrökerFarid MohammadiWolfgang NowakSebastian OttePublished in: CoRR (2023)
Keyphrases
- chaos theory
- neural network
- artificial neural networks
- data driven
- back propagation
- neural network model
- genetic algorithm
- pattern recognition
- feed forward neural networks
- deep learning
- bp neural network
- recurrent neural networks
- feed forward
- decision trees
- using artificial neural networks
- neural model
- convergence property
- neural models
- hidden neurons
- belief nets
- database
- learning rules
- multi layer perceptron
- network architecture
- neural nets
- multilayer perceptron
- fault diagnosis
- fuzzy logic
- real time