论文标题
具有未知运动方程的运动对象的神经网络跟踪
Neural Network Tracking of Moving Objects with Unknown Equations of Motion
论文作者
论文摘要
在本文中，我们提出了一种神经网络设计，该设计可用于根据对象的嘈杂坐标测量来跟踪给定范围内移动对象的位置。 KLMN滤波器通常执行的功能，我们的目标是表明我们的方法在某些情况下优于Kalman滤波器。
In this paper we present a Neural Network design that can be used to track the location of a moving object within a given range based on the object's noisy coordinates measurement. A function commonly performed by the KLMn filter, our goal is to show that our method outperforms the Kalman filter in certain scenarios.
