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Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Oktober 2025
Genre:	Schulbücher
	Analysis / Angewandte Mathematik / Applications of Mathematics / Artificial Intelligence / Artificial Intelligence (AI) / Chaos / Difference and Functional Equations / Difference equations / Discrete-time Systems / Künstliche Intelligenz / Linear Difference Equations / machine learning / Maschinelles Lernen / Mathematische Analysis, allgemein / Mathematische Modellierung / Neural Networks / Nonlinear Difference Equations / Stability mehr...
ISBN:	9783032009098
EAN-Code:	9783032009098
Verlag:	Springer International Publishing
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 240 mm / B 168 mm / D
Seiten:	143
Illustration:	XII, 143 p. 45 illus., 28 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.