Description

Book Synopsis
This book focuses on the research topics investigated during the three-year research project funded by the Italian Ministero dell'Istruzione, dell'Università e della Ricerca (MIUR: Ministry of Education, University and Research) under the FIRB project RBNE01CW3M. With the aim of introducing newer perspectives of the research on complexity, the final results of the project are presented after a general introduction to the subject. The book is intended to provide researchers, PhD students, and people involved in research projects in companies with the basic fundamentals of complex systems and the advanced project results recently obtained.

Table of Contents
The CNN Paradigm for Complexity; Emergent Phenomena in Neuroscience; Frequency Analysis and Identification in Atomic Force Microscopy; Control and Parameter Estimation of Systems with Low-Dimensional Chaos -- The Role of Peak-to-Peak Dynamics; Synchronization of Complex Networks; Economic Sector Identification in a Set of Stocks Traded at the New York Stock Exchange: A Comparative Analysis; Innovation Systems by Nonlinear Networks.

Advanced Topics On Cellular Self-organizing Nets

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A Hardback by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca

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    View other formats and editions of Advanced Topics On Cellular Self-organizing Nets by Riccardo Caponetto

    Publisher: World Scientific Publishing Co Pte Ltd
    Publication Date: 20/06/2008
    ISBN13: 9789812814043, 978-9812814043
    ISBN10: 9812814043
    Also in:
    Computing and Information Technology

    Description

    Book Synopsis
    This book focuses on the research topics investigated during the three-year research project funded by the Italian Ministero dell'Istruzione, dell'Università e della Ricerca (MIUR: Ministry of Education, University and Research) under the FIRB project RBNE01CW3M. With the aim of introducing newer perspectives of the research on complexity, the final results of the project are presented after a general introduction to the subject. The book is intended to provide researchers, PhD students, and people involved in research projects in companies with the basic fundamentals of complex systems and the advanced project results recently obtained.

    Table of Contents
    The CNN Paradigm for Complexity; Emergent Phenomena in Neuroscience; Frequency Analysis and Identification in Atomic Force Microscopy; Control and Parameter Estimation of Systems with Low-Dimensional Chaos -- The Role of Peak-to-Peak Dynamics; Synchronization of Complex Networks; Economic Sector Identification in a Set of Stocks Traded at the New York Stock Exchange: A Comparative Analysis; Innovation Systems by Nonlinear Networks.

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