Deterministic convergence of complex mini-batch gradient learning algorithm for fully complex-valued neural networks.
Huisheng ZhangYing ZhangShuai ZhuDongpo XuPublished in: Neurocomputing (2020)
Keyphrases
- complex valued
- recurrent neural networks
- activation function
- neural network
- learning algorithm
- real valued
- back propagation
- learning rate
- multi valued
- feed forward
- pattern recognition
- artificial neural networks
- linear equations
- machine learning
- singular spectrum analysis
- genetic algorithm
- convergence rate
- fuzzy logic
- random variables
- convergence speed
- machine learning algorithms
- hidden layer
- blind source separation
- active learning
- prior knowledge
- reinforcement learning