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portada Artificial Adaptive Systems Using Auto Contractive Maps: Theory, Applications and Extensions (Studies in Systems, Decision and Control) (in English)
Type
Physical Book
Publisher
Year
2018
Language
English
Pages
179
Format
Hardcover
ISBN13
9783319750484
Edition No.
1

Artificial Adaptive Systems Using Auto Contractive Maps: Theory, Applications and Extensions (Studies in Systems, Decision and Control) (in English)

Paolo Massimo Buscema; Giulia Massini; Marco Breda (Author) · Springer · Hardcover

Artificial Adaptive Systems Using Auto Contractive Maps: Theory, Applications and Extensions (Studies in Systems, Decision and Control) (in English) - Paolo Massimo Buscema; Giulia Massini; Marco Breda

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Synopsis "Artificial Adaptive Systems Using Auto Contractive Maps: Theory, Applications and Extensions (Studies in Systems, Decision and Control) (in English)"

This book offers an introduction to artificial adaptive systems and a general model of the relationships between the data and the algorithms for analyzing them. It then describes artificial neural networks as a subclass of artificial adaptive system and discusses the back-propagation algorithm, where an important connection between supervised and unsupervised artificial neural networks is made. 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. A unique feature of the approach of this book is its linkage to the minimal spanning tree and maximal regular graph, which give the user a tool to understand the results of a neural network analysis. A second unique feature is the transformation methods that are used to restructure the dataset. This allows powerful data understanding, association and transformations, as demonstrated in the numerous examples. A supervised version of auto contractive maps (Auto-CM) is also introduced as an outstanding digit and defect recognition method. Finally the monograph walks the readers through theory and examples of how Auto-CM, with the addition of a few equations (the so-called Spin Net algorithm), can be used as a dynamic auto-associative memory to predict and simulate dynamic scenarios and to work as content addressable memory.

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

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