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Difference Equations and Machine Learning

By (author) Dušan Stipanović

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normal price: R 1 854.95

Price: R 1 762.95


| book description |

This book presents in-depth explanations of well-known and recognized behaviors of neural networks in machine learning.  In addition, the author provides novel technical analyses of behaviors of discrete-time dynamical systems modeled as difference equations.  These analyses and their outcomes are closely related to models of very well-known neural networks such as Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) neural networks, which are widely used in machine learning and artificial intelligence (AI) applications.  The author also discusses difference equations and their relevance to neural networks, machine learning, and AI.

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Normally shipped | Forthcoming. We are not accepting backorders for this item yet
Publisher | Springer Nature Switzerland AG
Published date | 20 Oct 2025
Language |
Format | Hardback
Pages | 143
Dimensions | 240 x 168 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0320-0909-8
Readership Age |
BISAC | mathematics / differential equations


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