BP神经网络在可疑空间目标轨道预测中的应用

Zhu Can-shi, Zhu Lin
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摘要

神经网络作为一种来源于人脑系统的人工智能模型,具有模拟人脑的功能。本文旨在将神经网络引入到空间物体轨道的测量与计算中,从而更充分地发挥其在处理非线性问题方面的优势,从而为设计基于BP神经网络的空间物体轨道预测算法提供可能,并验证该算法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Application of BP Neural Network in the Predictions of Suspicious Space Target Orbits
As a type of artificial intelligence model derived from the human brain system, the neural network has the function to simulate the human brain. The paper is intended to introduce the neural network into the measurements and calculations of space object orbits, thereby giving fuller play to its advantages in dealing with the non-linear issues, and thus making it possible to design the prediction algorithm of space object orbits based on BP neural network and then verify the feasibility of this algorithm.
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