Long-term prediction of the Earth Orientation Parameters by the artificial neural network technique
Long-term prediction of the Earth Orientation Parameters by the artificial neural network technique
复制标题
人工神经网络技术对地球定向参数的长期预测
DOI：
10.1016/j.jog.2011.12.004
复制
发表时间：
2012-12-01
影响因子：
2.3
通讯作者：
Huang, C. L.
中科院分区：
文献类型：
--
作者：
Liao, D. C.;Wang, Q. J.;Huang, C. L.
在科学、深空导航等领域对EOP预测的需求越来越大。在前人利用人工神经网络（ANN）对地球方位参数（EOP）进行短期预测研究的基础上，我们将尝试扩展到地球方位参数（EOP）的长期预测，即提前期长达360天的预测。介绍了人工神经网络预测EOPs的基本理论和一些特殊注意事项，最后给出了我们的初步结果及其精度估计，并与其他作者的结果进行了比较。(C) 2012 Elsevier Ltd.版权所有。
There are increasing demands for EOP predictions in science, deep space navigation, etc. Based on previous research on short-term prediction of Earth Orientation Parameters (EOP) by artificial neural networks (ANN), we extend our attempt to long-term predictions of EOPs, i.e. predictions with a lead time up to 360 days. The basic theory and some special considerations for the ANN forecast of EOPs are presented, and finally our preliminary results and their accuracy estimates are shown and compared with those obtained by other authors. (C) 2012 Elsevier Ltd. All rights reserved.