Exploring Capability of Support Vector Machine for Improving Satellite Orbit Prediction Accuracy-Reference-Cited by-同舟云学术

Exploring Capability of Support Vector Machine for Improving Satellite Orbit Prediction Accuracy

Published:2018-06 Issue:6 Volume:15 Page:366-381
ISSN:2327-3097
Container-title:Journal of Aerospace Information Systems
language:en
Short-container-title:Journal of Aerospace Information Systems

Author:

Peng Hao¹,Bai Xiaoli¹

Affiliation:

1. Rutgers, The State University of New Jersey, New Brunswick, New Jersey 08854

Funder

Office of Naval Research

Air Force Office of Scientific Research

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Aerospace Engineering

Link

https://arc.aiaa.org/doi/am-pdf/10.2514/1.I010616

Reference21 articles.

1. Information Science and Statistics;Christmann A.,2008

2. The Elements of Statistical Learning

3. SharmaS.CutlerJ. W. “Robust Orbit Determination and Classification: A Learning Theoretic Approach,” Rept. 42-203, Jet Propulsion Lab., Pasadena, CA, Nov. 2015.

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