Meshfree Computational Algorithms Based on Normalized Radial Basis Functions

In this paper, new methods for solving mathematical modelling problems, based on the usage of normalized radial basis functions, are introduced. Meshfree computational algorithms for solving classical and inverse problems of mathematical physics are devel

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Long Cheng Qingshan Liu Andrey Ronzhin (Eds.)

Advances in Neural Networks – ISNN 2016 13th International Symposium on Neural Networks, ISNN 2016 St. Petersburg, Russia, July 6–8, 2016, Proceedings

123

Lecture Notes in Computer Science Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen

Editorial Board David Hutchison Lancaster University, Lancaster, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Zürich, Switzerland John C. Mitchell Stanford University, Stanford, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen TU Dortmund University, Dortmund, Germany Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max Planck Institute for Informatics, Saarbrücken, Germany

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More information about this series at http://www.springer.com/series/7407

Long Cheng Qingshan Liu Andrey Ronzhin (Eds.) •

Advances in Neural Networks – ISNN 2016 13th International Symposium on Neural Networks, ISNN 2016 St. Petersburg, Russia, July 6–8, 2016 Proceedings

123

Editors Long Cheng The Chinese Academy of Sciences Beijing China

Andrey Ronzhin SPIIRAS St. Petersburg Russia

Qingshan Liu Huazhong University of Science and Technology Wuhan, Hubei China

ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-319-40662-6 ISBN 978-3-319-40663-3 (eBook) DOI 10.1007/978-3-319-40663-3 Library of Congress Control Number: 2016941302 LNCS Sublibrary: SL1 – Theoretical Computer Science and General Issues © Springer International Publishing Switzerland 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 have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature