Multidisciplinary Approaches to Neural Computing
This book presents a collection of contributions in the field of Artificial Neural Networks (ANNs). The themes addressed are multidisciplinary in nature, and closely connected in their ultimate aim to identify features from dynamic realistic signal e
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Anna Esposito Marcos Faudez-Zanuy Francesco Carlo Morabito Eros Pasero Editors
Multidisciplinary Approaches to Neural Computing 123
Smart Innovation, Systems and Technologies Volume 69
Series editors Robert James Howlett, Bournemouth University and KES International, Shoreham-by-sea, UK e-mail: [email protected] Lakhmi C. Jain, University of Canberra, Canberra, Australia; Bournemouth University, UK; KES International, UK e-mails: [email protected]; [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
Anna Esposito ⋅ Marcos Faudez-Zanuy Francesco Carlo Morabito Eros Pasero Editors
Multidisciplinary Approaches to Neural Computing
123
Editors Anna Esposito Dipartimento di Psicologia Università della Campania “Luigi Vanvitelli” Caserta Italy and International Institute for Advanced Scientific Studies (IIASS) Vietri sul Mare Italy
Marcos Faudez-Zanuy Fundació Tecnocampus Pompeu Fabra University Mataro Spain Francesco Carlo Morabito Department of Civil, Environmental, Energy, and Material Engineering Mediterranea University of Reggio Calabria Reggio Calabria Italy Eros Pasero Dipartimento di Elettronica e Telecomunicazioni Politecnico di Torino, Laboratorio di Neuronica Torino Italy
ISSN 2190-3018 ISSN 2190-3026 (electronic) Smart Innovation, Systems and Technologies ISBN 978-3-319-56903-1 ISBN 978-3-319-56904-8 (eBook) DOI 10.1007/978-3-319-56904-8 Library of Congress Control Number: 20179452
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