Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky's Theorem.
Clayton SanfordVaggos ChatziafratisPublished in: CoRR (2021)
Keyphrases
- neural network
- pattern recognition
- hopfield neural network
- nonlinear dynamics
- back propagation
- genetic algorithm
- artificial neural networks
- neural network model
- multilayer perceptron
- chaos theory
- activation function
- radial basis function
- neural nets
- multi layer
- feed forward
- cellular automata
- decision making
- chaotic neural network
- chaotic dynamics
- real time
- training algorithm
- feedforward neural networks
- initial conditions
- computational properties
- fuzzy logic
- digital topology
- machine learning
- interactive theorem proving