Abstract: Particle swarm optimization (PSO) algorithms have low-quality initial particle swarm, which is generated by a random method when handling the problem of task scheduling in networked data ...

机器学习主要分为监督学习、无监督学习和强化学习三大分支。强化学习在人工智能应用中极具潜力，它通过不断改进和微调可能的解决方案的渐进过程来解决实际问题。这种体现适应能力的渐进方法适用于大多数事件持续且意外发生的现实世界。此外，数据量 ...

Abstract: In recent years, the world has been actively promoting the transformation of energy and industrial structure, and the new energy vehicle industry has been developing rapidly. However, the ...

The automation of underground articulated vehicles is a critical step in advancing digital and smart mining. Current nonlinear model predictive control (NMPC) controllers face challenges such as ...

To improve the accuracy of predicting non-invasive blood glucose concentration in the near-infrared spectrum, we utilized the Particle Swarm Optimization (PSO) algorithm to optimize hyperparameters ...