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Artificial Adaptive Systems Using Auto Contractive Maps - 9783030091354
Artificial Adaptive Systems Using Auto Contractive Maps - 9783030091354
Artificial Adaptive Systems Using Auto Contractive Maps - 9783030091354
Artificial Adaptive Systems Using Auto Contractive Maps - 9783030091354
Artificial Adaptive Systems Using Auto Contractive Maps - 9783030091354

Artificial Adaptive Systems Using Auto Contractive Maps - 9783030091354

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Artificial Adaptive Systems Using Auto Contractive MapsTheory, Applications and Extensions\nAuthor(s): Paolo Massimo Buscema, Giulia Massini, Marco Breda, Weldon A. Lodwick, Francis Newman, Masoud Asadi-Zeydabadi\nFormat: Paperback\nPublisher: Springer Nature Switzerland AG, Switzerland\nImprint: Springer Nature Switzerland AG\nISBN-13: 9783030091354, 978-3030091354\nSynopsis\nThis 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.\n\nThe books 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 und.

Artificial Adaptive Systems Using Auto Contractive Maps - 9783030091354

Artificial Adaptive Systems Using Auto Contractive MapsTheory, Applications and Extensions\nAuthor(s): Paolo Massimo Buscema, Giulia Massini, Marco Breda, Weldon A. Lodwick, Francis Newman, Masoud Asadi-Zeydabadi\nFormat: Paperback\nPublisher: Springer Nature Switzerland AG, Switzerland\nImprint: Springer Nature Switzerland AG\nISBN-13: 9783030091354, 978-3030091354\nSynopsis\nThis 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.\n\nThe books 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 und.

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