artificial error signal

简明释义

人为误差信号

英英释义

例句

1.By injecting an artificial error signal, we were able to identify weaknesses in the feedback loop.

通过注入人工误差信号，我们能够识别反馈回路中的弱点。

2.The research team utilized an artificial error signal to improve the machine learning model's accuracy.

研究团队利用人工误差信号来提高机器学习模型的准确性。

3.The artificial error signal was introduced to assess the robustness of the algorithm under failure conditions.

引入了人工误差信号以评估算法在故障条件下的鲁棒性。

4.The control system generated an artificial error signal to test the response of the machinery.

控制系统生成了一个人工误差信号来测试机器的响应。

5.In simulations, engineers often use an artificial error signal to evaluate system stability.

在模拟中，工程师常常使用人工误差信号来评估系统的稳定性。

作文

In the world of control systems and automation, the concept of an artificial error signal plays a crucial role in ensuring that systems operate effectively and efficiently. An artificial error signal is essentially a generated signal that represents the difference between a desired setpoint and the actual output of a system. This concept is fundamental in feedback control mechanisms, where the goal is to minimize the discrepancy between what is expected and what is actually occurring. To better understand the significance of an artificial error signal, consider a simple example: a heating system in a home. The thermostat is set to a desired temperature of 70 degrees Fahrenheit. If the actual temperature in the room drops to 65 degrees, the thermostat detects this deviation. The artificial error signal in this scenario would be the difference of 5 degrees. This signal prompts the heating system to activate and warm the room until the desired temperature is reached. Without the artificial error signal, the system would have no way to know that it needed to adjust its output, leading to inefficient heating and discomfort for the occupants. The use of artificial error signals is not limited to simple systems like home heating; they are also integral in complex industrial processes. In manufacturing, for instance, a robotic arm may be programmed to assemble components with high precision. If the arm deviates from its intended path due to mechanical failure or external disturbances, the control system generates an artificial error signal to correct the movement. This rapid response is essential for maintaining quality control and ensuring that products meet specified standards. Moreover, artificial error signals are extensively used in the field of robotics and artificial intelligence. Autonomous vehicles rely on sensors to monitor their environment continuously. When these sensors detect obstacles or deviations from a planned route, an artificial error signal is created to guide the vehicle back on course. This capability is vital for safety and efficiency, as it allows the vehicle to adapt to real-time changes in its surroundings. In the realm of machine learning, the concept of an artificial error signal can also be applied. During the training of neural networks, the difference between the predicted output and the actual output is calculated. This difference serves as an artificial error signal that informs the model how to adjust its parameters to improve accuracy. By minimizing this error signal through various optimization techniques, the model learns to make better predictions over time. In conclusion, the artificial error signal is a fundamental concept in various fields, from simple home automation to advanced robotics and machine learning. Its ability to represent discrepancies between expected and actual outcomes allows systems to self-correct and optimize performance. As technology continues to evolve, the importance of understanding and utilizing artificial error signals will only increase, paving the way for more efficient and intelligent systems in our daily lives.

在控制系统和自动化的世界中，人工误差信号的概念在确保系统有效和高效运行方面发挥着至关重要的作用。人工误差信号本质上是一个生成的信号，表示期望设定点与系统实际输出之间的差异。这个概念在反馈控制机制中是基础，目标是最小化预期与实际发生之间的差距。为了更好地理解人工误差信号的重要性，考虑一个简单的例子：家中的供暖系统。温控器设置为期望温度70华氏度。如果房间的实际温度降到65华氏度，温控器会检测到这种偏差。在这种情况下，人工误差信号将是5度的差异。这个信号促使供暖系统启动，直到房间达到所需的温度。如果没有人工误差信号，系统就无法知道需要调整输出，从而导致供暖效率低下，居住者感到不适。人工误差信号的使用并不仅限于简单的系统，如家庭供暖；它们在复杂的工业过程中也是不可或缺的。例如，在制造业中，机器人臂可能被编程为高精度地组装组件。如果由于机械故障或外部干扰，机器人臂偏离了预定路径，控制系统会生成一个人工误差信号来纠正运动。这种快速响应对于保持质量控制和确保产品符合规定标准至关重要。此外，人工误差信号在机器人技术和人工智能领域也被广泛使用。自主车辆依赖传感器持续监测其环境。当这些传感器检测到障碍物或偏离计划路线时，会生成一个人工误差信号以指导车辆回到正确的轨道。这种能力对于安全和效率至关重要，因为它允许车辆实时适应周围环境的变化。在机器学习领域，人工误差信号的概念也可以应用。在神经网络的训练过程中，计算预测输出与实际输出之间的差异。这个差异作为人工误差信号，告知模型如何调整其参数以提高准确性。通过各种优化技术最小化该误差信号，模型随着时间的推移学会做出更好的预测。总之，人工误差信号是各个领域的基本概念，从简单的家居自动化到先进的机器人技术和机器学习。它能够表示预期结果与实际结果之间的差异，使系统能够自我修正和优化性能。随着技术的不断发展，理解和利用人工误差信号的重要性只会增加，为我们日常生活中更高效、更智能的系统铺平道路。