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.
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.
Artificial Adaptive Systems Using Auto Contractive Maps: Theory, Applications and Extensions
179
Artificial Adaptive Systems Using Auto Contractive Maps: Theory, Applications and Extensions
179Paperback(Softcover reprint of the original 1st ed. 2018)
Product Details
| ISBN-13: | 9783030091354 |
|---|---|
| Publisher: | Springer International Publishing |
| Publication date: | 12/25/2018 |
| Series: | Studies in Systems, Decision and Control , #131 |
| Edition description: | Softcover reprint of the original 1st ed. 2018 |
| Pages: | 179 |
| Product dimensions: | 6.10(w) x 9.25(h) x (d) |