Soft Computing Frameworks for Adaptive and Intelligent Systems

Mohammed Wasid

ISBN 10: 6208428335 / ISBN 13: 9786208428334

Edité par LAP LAMBERT Academic Publishing Feb 2025, 2025

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This item is printed on demand - Print on Demand Titel. Neuware -Soft computing is a powerful approach to artificial intelligence that enables intelligent systems to handle uncertainty, imprecision, and complexity through techniques such as fuzzy logic, neural networks, evolutionary computing, and probabilistic reasoning. Unlike traditional models, soft computing leverages approximation, learning, and optimization for adaptive decision-making, making it essential in fields like healthcare, finance, robotics, and cloud computing. This book bridges the gap between theory and practice by providing a structured exploration of fundamental concepts, hybrid techniques, and real-world applications. It caters to researchers, students, and industry professionals by offering insights into emerging trends and future advancements in intelligent systems. By integrating soft computing with deep learning and probabilistic models, this book serves as a comprehensive guide for developing next-generation AI-driven adaptive systems.Books on Demand GmbH, Überseering 33, 22297 Hamburg 108 pp. Englisch. N° de réf. du vendeur 9786208428334

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Titre : Soft Computing Frameworks for Adaptive and ...

Éditeur : LAP LAMBERT Academic Publishing Feb 2025

Date d'édition : 2025

Reliure : Taschenbuch

Etat : Neu

A propos de ce titre

Synopsis :

Soft computing is a powerful approach to artificial intelligence that enables intelligent systems to handle uncertainty, imprecision, and complexity through techniques such as fuzzy logic, neural networks, evolutionary computing, and probabilistic reasoning. Unlike traditional models, soft computing leverages approximation, learning, and optimization for adaptive decision-making, making it essential in fields like healthcare, finance, robotics, and cloud computing. This book bridges the gap between theory and practice by providing a structured exploration of fundamental concepts, hybrid techniques, and real-world applications. It caters to researchers, students, and industry professionals by offering insights into emerging trends and future advancements in intelligent systems. By integrating soft computing with deep learning and probabilistic models, this book serves as a comprehensive guide for developing next-generation AI-driven adaptive systems.