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Neural Nets WIRN Vietri-99

Proceedings of the 11th Italian Workshop on Neural Nets, Vietri Sul Mare, Salerno, Italy, 20–22 May 1999

  • Conference proceedings
  • © 1999

Overview

Part of the book series: Perspectives in Neural Computing (PERSPECT.NEURAL)

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Table of contents (47 papers)

  1. Invited Papers

  2. Review Papers

  3. Eduardo R. Caianiello Lecture

  4. Mathematical Models

  5. Pattern Recognition and Signal Processing

Keywords

About this book

From its early beginnings in the fifties and sixties, the field of neural networks has been steadily developing to become one of the most interdisciplinary areas of research within computer science. This volume contains a selection of papers from WIRN Vietri-99, the 11th Italian Workshop on Neural Nets. This annual event, sponsored, amongst others, by the IEEE Neural Networks Council and the INNS/SIG Italy, brings together the best of research from all over the world. The papers cover a range of topics within neural networks, including pattern recognition, signal and image processing, mathematical models, neuro-fuzzy models and economics applications.

Editors and Affiliations

  • Dipartimento di Scienze Fisiche, “E.R. Caianiello”, Universita di Salerno, Baronissi (SA), Italy

    Maria Marinaro

  • DMI, Universita di Salerno, Baronissi (SA), Italy

    Roberto Tagliaferri

Bibliographic Information

  • Book Title: Neural Nets WIRN Vietri-99

  • Book Subtitle: Proceedings of the 11th Italian Workshop on Neural Nets, Vietri Sul Mare, Salerno, Italy, 20–22 May 1999

  • Editors: Maria Marinaro, Roberto Tagliaferri

  • Series Title: Perspectives in Neural Computing

  • DOI: https://doi.org/10.1007/978-1-4471-0877-1

  • Publisher: Springer London

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag London Limited 1999

  • Softcover ISBN: 978-1-4471-1226-6Published: 01 July 2012

  • eBook ISBN: 978-1-4471-0877-1Published: 06 December 2012

  • Series ISSN: 1431-6854

  • Edition Number: 1

  • Number of Pages: X, 430

  • Topics: Artificial Intelligence, Pattern Recognition, Complexity

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