Adaptive Optics Correction Using Recurrent Neural Networks for Wavefront Prediction.
Saúl Pérez FernándezAlejandro Buendía RocaCarlos González-GutiérrezJavier Rodríguez RodríguezSantiago Iglesias ÁlvarezRonny Anangonó TutasigFernando Sánchez LasherasFrancisco Javier de Cos JuezPublished in: SOCO (2) (2023)
Keyphrases
- recurrent neural networks
- chaotic time series
- neural network
- echo state networks
- complex valued
- prediction accuracy
- recurrent networks
- feed forward
- artificial neural networks
- reservoir computing
- hidden layer
- neural model
- nonlinear dynamic systems
- cascade correlation
- hebbian learning
- feedforward neural networks
- long short term memory
- prediction algorithm
- machine vision
- linear predictors
- real valued
- convergence rate
- knowledge base
- decision making
- learning algorithm
- machine learning