Advances in Neural Networks: Computational and Theoretical Issues
This book collects research works that exploit neural networks and machine learning techniques from a multidisciplinary perspective. Subjects covered include theoretical, methodological and computational topics which are grouped together into chapters dev
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Simone Bassis Anna Esposito Francesco Carlo Morabito Editors
Advances in Neural Networks: Computational and Theoretical Issues 123
Smart Innovation, Systems and Technologies Volume 37
Series editors Robert J. Howlett, KES International, Shoreham-by-Sea, UK e-mail: [email protected] Lakhmi C. Jain, University of Canberra, Canberra, Australia and University of South Australia, Australia e-mail: [email protected]
About this Series The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form. Volumes on interdisciplinary research combining two or more of these areas is particularly sought. The series covers systems and paradigms that employ knowledge and intelligence in a broad sense. Its scope is systems having embedded knowledge and intelligence, which may be applied to the solution of world problems in industry, the environment and the community. It also focusses on the knowledge-transfer methodologies and innovation strategies employed to make this happen effectively. The combination of intelligent systems tools and a broad range of applications introduces a need for a synergy of disciplines from science, technology, business and the humanities. The series will include conference proceedings, edited collections, monographs, handbooks, reference books, and other relevant types of book in areas of science and technology where smart systems and technologies can offer innovative solutions. High quality content is an essential feature for all book proposals accepted for the series. It is expected that editors of all accepted volumes will ensure that contributions are subjected to an appropriate level of reviewing process and adhere to KES quality principles. More information about this series at http://www.springer.com/series/8767
Simone Bassis · Anna Esposito Francesco Carlo Morabito Editors
Advances in Neural Networks: Computational and Theoretical Issues
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Editors Simone Bassis Computer Science Department University of Milano Milano Italy Anna Esposito Dipartimento di Psicologia, Seconda Universitá di Napoli, Caserta, Italy
Francesco Carlo Morabito Department of Civil, Environmental, Energy, and Material Engineering University Mediterranea of Reggio Calabria Reggio Calabria Italy
and International Institute for Advanced Scientific Studies (IIASS) Vietri sul Mare (SA) Italy
ISSN 2190-3018 ISSN 2190-3026 (electronic) Smart Innovation, Systems and Technologies ISBN 978-3-319-18163-9 ISBN 978-3-319-18164-6 (eBook) DOI 10.1007/978-3-319-18164-6 Library of Congress Control Number: 2015937731 Springer Cham Heidelberg New York Dordrecht London c Springer International Publishing Switzerland 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether th
