Data Fusion of Small Sample Flying Test Data and Big Sample Simulation Test Data Based on Equivalent Sample for Equipmen

How to fuse the small flying test data and the big simulation test data is such a difficult research hot in small sample data solution field. Bayesian formula is usually adopted to solve this problem, but when it is used directly, the simulation test data

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Communications in Computer and Information Science

646

Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference AsiaSim/SCS AutumnSim 2016 Beijing, China, October 8–11, 2016, Proceedings, Part IV

Part 4

123

Communications in Computer and Information Science

646

Commenced Publication in 2007 Founding and Former Series Editors: Alfredo Cuzzocrea, Dominik Ślęzak, and Xiaokang Yang

Editorial Board Simone Diniz Junqueira Barbosa Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil Phoebe Chen La Trobe University, Melbourne, Australia Xiaoyong Du Renmin University of China, Beijing, China Joaquim Filipe Polytechnic Institute of Setúbal, Setúbal, Portugal Orhun Kara TÜBİTAK BİLGEM and Middle East Technical University, Ankara, Turkey Igor Kotenko St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St. Petersburg, Russia Ting Liu Harbin Institute of Technology (HIT), Harbin, China Krishna M. Sivalingam Indian Institute of Technology Madras, Chennai, India Takashi Washio Osaka University, Osaka, Japan

More information about this series at http://www.springer.com/series/7899

Lin Zhang Xiao Song Yunjie Wu (Eds.) •

Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference AsiaSim/SCS AutumnSim 2016 Beijing, China, October 8–11, 2016 Proceedings, Part IV

123

Editors Lin Zhang Beihang University Beijing China

Yunjie Wu Beihang University Beijing China

Xiao Song Beihang University Beijing China

ISSN 1865-0929 ISSN 1865-0937 (electronic) Communications in Computer and Information Science ISBN 978-981-10-2671-3 ISBN 978-981-10-2672-0 (eBook) DOI 10.1007/978-981-10-2672-0 Library of Congress Control Number: 2016946015 © Springer Science+Business Media Singapore 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may