Recent Developments in Dynamic Modeling, Control and Applications of Neural Networks

摘要

Recent advances and emerging approaches in neural model and learning (i.e. deep neural network) have led to an unparalleled surge of interest in the topic of neural networks. Neural networks provide an intelligent approach for solving complex problems that might otherwise not have a tractable solution. Neural networks have emerged as a powerful tool by providing outstanding performance that allow a wide variety of unprecedented applications in associative memory, function approximation, learning system, nonlinear system modeling and control. Neural networks themselves are typically nonlinear, and many different kinds of neural network models have recently been proposed for solving emerging problems. In addition, research on dynamics of neural networks and neural networks based control in nonlinear control system have also grown tremendously. This special issue presents the latest theoretical and technical advancements, and novel applications of neural networks.