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Artificial Adaptive Systems Using Auto Contractive Maps
Theory, Applications and Extensions
Buch von Paolo Massimo Buscema (u. a.)
Sprache: Englisch

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Beschreibung
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.
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.
Zusammenfassung

Describes a newer approach to artificial adaptive systems, the auto contractive map

Offers a comprehensive guide on to the use auto contractive map and its supervised version to extract extensive information from data

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

Inhaltsverzeichnis
An Introduction.- Artificial Neural Networks.- Auto-Contractive Maps.- Visualization of Auto-CM Output.- Dataset Transformations and Auto-CM.- Comparison of Auto-CM to Various Other Data Understanding Approaches.
Details
Erscheinungsjahr: 2018
Fachbereich: Technik allgemein
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Studies in Systems, Decision and Control
Inhalt: vii
179 S.
23 s/w Illustr.
74 farbige Illustr.
179 p. 97 illus.
74 illus. in color.
ISBN-13: 9783319750484
ISBN-10: 3319750488
Sprache: Englisch
Herstellernummer: 978-3-319-75048-4
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Buscema, Paolo Massimo
Massini, Giulia
Asadi-Zeydabadi, Masoud
Lodwick, Weldon A.
Newman, Francis
Breda, Marco
Auflage: 1st ed. 2018
Hersteller: Springer International Publishing
Studies in Systems, Decision and Control
Maße: 241 x 160 x 16 mm
Von/Mit: Paolo Massimo Buscema (u. a.)
Erscheinungsdatum: 06.03.2018
Gewicht: 0,453 kg
Artikel-ID: 111022023
Zusammenfassung

Describes a newer approach to artificial adaptive systems, the auto contractive map

Offers a comprehensive guide on to the use auto contractive map and its supervised version to extract extensive information from data

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

Inhaltsverzeichnis
An Introduction.- Artificial Neural Networks.- Auto-Contractive Maps.- Visualization of Auto-CM Output.- Dataset Transformations and Auto-CM.- Comparison of Auto-CM to Various Other Data Understanding Approaches.
Details
Erscheinungsjahr: 2018
Fachbereich: Technik allgemein
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Studies in Systems, Decision and Control
Inhalt: vii
179 S.
23 s/w Illustr.
74 farbige Illustr.
179 p. 97 illus.
74 illus. in color.
ISBN-13: 9783319750484
ISBN-10: 3319750488
Sprache: Englisch
Herstellernummer: 978-3-319-75048-4
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Buscema, Paolo Massimo
Massini, Giulia
Asadi-Zeydabadi, Masoud
Lodwick, Weldon A.
Newman, Francis
Breda, Marco
Auflage: 1st ed. 2018
Hersteller: Springer International Publishing
Studies in Systems, Decision and Control
Maße: 241 x 160 x 16 mm
Von/Mit: Paolo Massimo Buscema (u. a.)
Erscheinungsdatum: 06.03.2018
Gewicht: 0,453 kg
Artikel-ID: 111022023
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