Using Diffraction Deep Neural Networks for Indirect Phase Recovery Based on Zernike Polynomials.
Fang YuanYang SunYuting HanHairong ChuTianxiang MaHonghai ShenPublished in: Sensors (2024)
Keyphrases
- neural network
- x ray
- signal processing
- zernike moments
- pattern recognition
- artificial neural networks
- genetic algorithm
- orthogonal moments
- neural network model
- multi layer
- feed forward
- back propagation
- fault diagnosis
- training phase
- multi layer perceptron
- fuzzy logic
- self organizing maps
- activation function
- moment invariants
- recovery algorithm
- pseudo zernike moments