Studies in Systems, Decision and Control

Artificial Adaptive Systems Using Auto Contractive Maps

Theory, Applications and Extensions

Authors: Buscema, P.M., Massini, G., Breda, M., Lodwick, W.A., Newman, F., Asadi-Zeydabadi, M.

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  • Describes a newer approach to artificial adaptive systems, the auto contractive map
  • Offers a comprehensive guide on the use of auto contractive map and its supervised version to extract extensive information from data, lending further meaning to the popular notion of “deep learning”
  • Describes how to couple auto contractive maps and graph theoretic methods to organize and understand data in a powerful new way
  • Includes numerous examples on real and fictitious data 
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eBook 101,14 €
price for Spain (gross)
  • ISBN 978-3-319-75049-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-75048-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book offers an introduction to artificial adaptive systems and a general model of the relationships between the data and algorithms used to analyze them. It subsequently describes artificial neural networks as a subclass of artificial adaptive systems, and reports on the backpropagation algorithm, while also identifying an important connection between supervised and unsupervised artificial neural networks. 

The book’s primary focus is on the auto contractive map, an unsupervised artificial neural network employing a fixed point method versus traditional energy minimization. This is a powerful tool for understanding, associating and transforming data, as demonstrated in the numerous examples presented here. A supervised version of the auto contracting map is also introduced as an outstanding method for recognizing digits and defects. In closing, the book walks the readers through the theory and examples of how the auto contracting map can be used in conjunction with another artificial neural network, the “spin-net,” as a dynamic form of auto-associative memory.


Table of contents (8 chapters)

  • An Introduction

    Buscema, Paolo Massimo (et al.)

    Pages 1-9

    Preview Buy Chapter 30,19 €
  • Artificial Neural Networks

    Buscema, Paolo Massimo (et al.)

    Pages 11-35

    Preview Buy Chapter 30,19 €
  • Auto-contractive Maps

    Buscema, Paolo Massimo (et al.)

    Pages 37-60

    Preview Buy Chapter 30,19 €
  • Visualization of Auto-CM Output

    Buscema, Paolo Massimo (et al.)

    Pages 61-76

    Preview Buy Chapter 30,19 €
  • Dataset Transformations and Auto-CM

    Buscema, Paolo Massimo (et al.)

    Pages 77-104

    Preview Buy Chapter 30,19 €

Buy this book

eBook 101,14 €
price for Spain (gross)
  • ISBN 978-3-319-75049-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-75048-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Artificial Adaptive Systems Using Auto Contractive Maps
Book Subtitle
Theory, Applications and Extensions
Authors
Series Title
Studies in Systems, Decision and Control
Series Volume
131
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-75049-1
DOI
10.1007/978-3-319-75049-1
Hardcover ISBN
978-3-319-75048-4
Series ISSN
2198-4182
Edition Number
1
Number of Pages
VII, 179
Number of Illustrations
23 b/w illustrations, 74 illustrations in colour
Topics