SPECIAL SECTION : RECURRENT DYNAMIC NEURAL NETWORKS: THEORY AND APPLICATIONS
- Guest Editorial: Special issue on recurrent dynamic neural networks: Theory and applications
- Weakly supervised machine learning
- Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey
- An advanced discrete‐time RNN for handling discrete time‐varying matrix inversion: Form model design to disturbance‐suppression analysis
- Recursive recurrent neural network: A novel model for manipulator control with different levels of physical constraints
- The dynamic relaxation form finding method aided with advanced recurrent neural network
- The dynamic relaxation form finding method aided with advanced recurrent neural network
- Iteration dependent interval based open‐closed‐loop iterative learning control for time varying systems with vector relative degree
- A zeroing neurodynamics‐based location method for nodes in underwater acoustic sensor network
- An activated variable parameter gradient-based neural network for time-variant constrained quadratic programming and its applications