With the development of intelligent transportation and rapid growth application data, tasks offloading vehicles in vehicle-to-vehicle communication technology are continuously increasing. To further improve service efficiency computing platform, energy-efficient low-latency mobile-edge-computing (MEC) methods urgently needed, which can solve insufficient capacity vehicle terminals. Based on an ...

Mechanical properties are important indicators for evaluating the quality of strips. This paper proposes a mechanical performance prediction model based on Gray Wolf Optimization (GWO) algorithm and Extreme Learning Machine (ELM) algorithm. In modeling process, GWO is used to determine optimal weights deviations ELM experiments model’s key parameters. The effectively avoids manual intervention ...

An adaptive control algorithm based on the RBF neural network (RBFNN) and nonlinear model predictive (NMPC) is discussed for underwater vehicle trajectory tracking control. Firstly, in off-line phase, improved Levenberg–Marquardt-error surface compensation (IALM-ESC) used to establish RBFNN prediction model. In real-time using characteristic that system output will change with external environm...