Artificial Adaptive Systems Using Auto Contractive Maps: Theory, Applications And Extensions (Studies In Systems, Decision And Control #131)

By: and and and and and

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

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.

Copyright:
2018

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9783319750491
Related ISBNs:
9783319750484
Publisher:
Springer International Publishing AG
Date of Addition:
Copyrighted By:
Springer International Publishing AG
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Mathematics and Statistics
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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