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相关概念视频

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

132
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
132
Reinforcement Schedules01:24

Reinforcement Schedules

205
Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
Once a behavior is learned,...
205
Reinforcement01:23

Reinforcement

280
Positive and negative reinforcement are key concepts in operant conditioning, a learning process where the consequences of a behavior affect the likelihood of that behavior being repeated.
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example:
280
Radiation Pressure: Problem Solving01:09

Radiation Pressure: Problem Solving

398
The radiation pressure applied by an electromagnetic wave on a perfectly absorbing surface equals the energy density of the wave. The wave's momentum also gets transferred to the surface when an electromagnetic wave is entirely absorbed by it. The rate at which momentum is transmitted to an absorbing surface perpendicular to the propagation direction equals the force on the surface.
The average value of the rate of momentum transfer divided by the absorbing area represents the average force...
398
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

134
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
134
Short-distance Transport of Resources02:12

Short-distance Transport of Resources

16.2K
Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
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相关实验视频

Updated: Jul 23, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

605

基于强化学习的多无线电系统的强有力的资源管理.

James Delaney1, Steve Dowey1, Chi-Tsun Cheng1

  • 1Manufacturing, Materials and Mechatronics, School of Engineering, STEM College, RMIT University, 124 La Trobe St., Melbourne, VIC 3000, Australia.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
概括

使用多目标增强学习的智能无线电选择提高了物联网 (IoT) 的无线通信稳定性. 与传统方法相比,自适应式勘探策略可以提高20%的性能.

科学领域:

  • 无线通信系统无线通信系统
  • 物联网 (IoT) 的物联网 (IoT) 的物联网.
  • 适应性无线电技术适应性无线电技术

背景情况:

  • 在物联网中,对具有多个无线收发器的传感器设备的需求增加.
  • 需要适应性系统,以确保在动态通道条件下可靠的通信.
  • 专注于部署人员设备和接入点基础设施之间的无线连接.

研究的目的:

  • 将多目标强化学习 (MORL) 框架应用于多无线电选择和功率控制.
  • 使用独立的奖励函数来管理功耗和比特率之间的权衡.
  • 开发和评估一个适应性探索战略,以实现强大的政策学习.

主要方法:

  • 利用多个无线电平台,使用多种收发器技术.
  • 实施了MORL框架,用于相互冲突的目标,具有独立的奖励功能.
  • 建议扩展多目标SARSA算法,并采用适应式勘探策略.

主要成果:

  • 通过收发器的自适应控制实现了强大可靠的链接.
  • 证明有效地管理电力消耗和比特率权衡.
  • 与腐烂的勘探政策相比,适应性勘探的F1得分增加了20%.
关键词:
适应性系统是适应性的系统.多个无线电系统.强化学习是一种强化学习.资源管理 资源管理

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结论:

  • MORL框架有效地解决了多无线电选择和功率控制方面的挑战.
  • 适应式勘探策略可以提高无线通信系统的稳定性和性能.
  • 拟议的扩展多目标SARSA算法在通信可靠性方面提供了显著的改进.