Artificial Adaptive Systems Using Auto Contractive Maps: Theory, Applications and Extensions (Studies in Systems, Decision and Control, Band 131) - Softcover
Inhaltsangabe
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
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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.
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Artificial Adaptive Systems Using Auto Contractive Maps | Theory, Applications and Extensions
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Taschenbuch. Zustand: Neu. Artificial Adaptive Systems Using Auto Contractive Maps | Theory, Applications and Extensions | Paolo Massimo Buscema (u. a.) | Taschenbuch | vii | Englisch | 2018 | Springer | EAN 9783030091354 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 115376892
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Artificial Adaptive Systems Using Auto Contractive Maps
ISBN 10: 303009135X
ISBN 13: 9783030091354
Neu
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Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 188 pp. Englisch. Artikel-Nr. 9783030091354
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Artificial Adaptive Systems Using Auto Contractive Maps : Theory, Applications and Extensions
ISBN 10: 303009135X
ISBN 13: 9783030091354
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9783030091354
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