论文信息 - Artificial Neural Network–Based Machine Learning Approach to Improve Orbit Prediction Accuracy - 字舞流文

Artificial Neural Network–Based Machine Learning Approach to Improve Orbit Prediction Accuracy

A machine learning (ML) approach has been proposed to improve orbit prediction accuracy in previous studies. In this paper, the artificial neural network (ANN) model is investigated for the same pu...

Hao Peng | Xiaoli Bai

[1] Chee Kheong Siew,et al. Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes , 2006, IEEE Transactions on Neural Networks.

[2] John Junkins,et al. Optimal Estimation of Dynamic Systems, Second Edition , 2011 .

[3] Hao Peng,et al. Recovering area-to-mass ratio of resident space objects through data mining , 2018 .

[4] Narasimhan Sundararajan,et al. A fault-tolerant neural aided controller for aircraft auto-landing , 2006 .

[5] Kenneth E. Williams,et al. Prediction of solar activity with a neural network and its effect on orbit prediction , 1991 .

[6] Y Lu,et al. A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural Networks , 1997, Neural Computation.

[7] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.

[8] A. J. Conway,et al. Prediction of solar and geomagnetic activity data using neural networks , 1995 .

[9] Dario Izzo,et al. Machine Learning of Optimal Low-Thrust Transfers Between Near-Earth Objects , 2017, HAIS.

[10] Chris Sabol,et al. Comparison of Covariance Based Track Association Approaches Using Simulated Radar Data , 2012 .

[11] Pini Gurfil,et al. Dynamical modeling and lifetime analysis of geostationary transfer orbits , 2016 .

[12] D. Vallado. Fundamentals of Astrodynamics and Applications , 1997 .