Estimation of Stokes Parameters Using Deep Neural Networks.
Joan Manuel Raygoza-RomeroIrvin Hussein López-NavaJulio Cesar Ramírez-VélezPublished in: MCPR (2023)
Keyphrases
- neural network
- parameter estimation
- maximum likelihood estimation
- parameter values
- estimation process
- fuzzy inference system
- parameter space
- artificial neural networks
- input parameters
- nonlinear dynamics
- maximum likelihood
- sensitivity analysis
- estimation algorithm
- neural nets
- feed forward
- fuzzy logic
- pattern recognition
- parameters estimation
- highly non linear
- estimation accuracy
- density estimation
- measured data
- closed form solutions
- training process
- fuzzy systems
- multi layer
- parameter settings
- model selection
- expectation maximization
- least squares
- learning algorithm
- genetic algorithm