Neural Network

Attention-Enhanced Deep Learning Model for Reconstruction and Downscaling of Thermocline Depth in the Tropical Indian Ocean

Accurate estimation of high-resolution thermocline depth is important for investigating ocean processes and climate variability on multiple scales. Due to the sparse coverage and …

A New Hybrid Deep Sequence Model for Decomposing, Interpreting, and Predicting Sulfur Dioxide Decline in Coastal Cities of Northern China

The recent success of emission reduction policies in China has significantly lowered sulfur dioxide (SO2) levels. However, accurately forecasting these concentrations remains …

A New Hybrid Deep Sequence Model for Decomposing, Interpreting, and Predicting Sulfur Dioxide Decline in Coastal Cities of Northern China

The recent success of emission reduction policies in China has significantly lowered sulfur dioxide (SO2) levels. However, accurately forecasting these concentrations remains …

Adaptive Decentralized Tracking Control of a Class of Large-Scale Nonlinear Systems with Unknown Dead-Zone Inputs Using Neural Network

Adaptive Decentralized Tracking Control of a Class of Large-Scale Nonlinear Systems with Unknown Dead-Zone Inputs Using Neural Network

Adaptive Neural Output Feedback Tracking Control for a Class of Nonlinear Systems

In this paper, an adaptive neural output feedback control scheme based on backstepping technique and dynamic surface control (DSC) approach is developed to solve the tracking …

Adaptive Neural Output Feedback Tracking Control for a Class of Nonlinear Systems

In this paper, an adaptive neural output feedback control scheme based on backstepping technique and dynamic surface control (DSC) approach is developed to solve the tracking …