computational framework adaptive artificial de jayashree ananth (12 résultats)

Etat : New.

Etat : New.

Paperback. Etat : new. Paperback. The development of a computational framework for adaptive artificial intelligence represents a transformative shift in the evolution of intelligent systems. Throughout this book, we have examined the theoretical foundations, algorithmic principles, architectural designs, and ethical implications that collectively define adaptive AI. At its core, adaptive artificial intelligence refers to systems that possess the capacity to learn continuously from data, modify internal representations in response to environmental changes, and improve performance without explicit reprogramming. Unlike traditional static models that rely on predefined rules or fixed training phases, adaptive AI systems operate in dynamic environments where uncertainty, variability, and incomplete information are inherent characteristics. The integration of computational intelligence methods, machine learning paradigms, reinforcement learning strategies, neural network architectures, and systems engineering principles forms the backbone of this adaptive framework. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 144 pp. Englisch.

Taschenbuch. Etat : Neu. COMPUTATIONAL FRAMEWORK FOR ADAPTIVE ARTIFICIAL INTELLIGENCE | Jayashree Ananth S | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209827075 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Paperback. Etat : new. Paperback. The development of a computational framework for adaptive artificial intelligence represents a transformative shift in the evolution of intelligent systems. Throughout this book, we have examined the theoretical foundations, algorithmic principles, architectural designs, and ethical implications that collectively define adaptive AI. At its core, adaptive artificial intelligence refers to systems that possess the capacity to learn continuously from data, modify internal representations in response to environmental changes, and improve performance without explicit reprogramming. Unlike traditional static models that rely on predefined rules or fixed training phases, adaptive AI systems operate in dynamic environments where uncertainty, variability, and incomplete information are inherent characteristics. The integration of computational intelligence methods, machine learning paradigms, reinforcement learning strategies, neural network architectures, and systems engineering principles forms the backbone of this adaptive framework. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The development of a computational framework for adaptive artificial intelligence represents a transformative shift in the evolution of intelligent systems. Throughout this book, we have examined the theoretical foundations, algorithmic principles, architectural designs, and ethical implications that collectively define adaptive AI. At its core, adaptive artificial intelligence refers to systems that possess the capacity to learn continuously from data, modify internal representations in response to environmental changes, and improve performance without explicit reprogramming. Unlike traditional static models that rely on predefined rules or fixed training phases, adaptive AI systems operate in dynamic environments where uncertainty, variability, and incomplete information are inherent characteristics. The integration of computational intelligence methods, machine learning paradigms, reinforcement learning strategies, neural network architectures, and systems engineering principles forms the backbone of this adaptive framework.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.

Etat : New. Print on Demand.

Etat : New. PRINT ON DEMAND.