Soft Computing Frameworks for Adaptive and Intelligent Systems (Paperback)

Mohammed Wasid

ISBN 10: 6208428335 ISBN 13: 9786208428334
Published by LAP Lambert Academic Publishing, 2025
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Paperback. 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9786208428334

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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.

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Title: Soft Computing Frameworks for Adaptive and ...
Publisher: LAP Lambert Academic Publishing
Publication Date: 2025
Binding: Paperback
Condition: new

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Taschenbuch. Condition: Neu. Soft Computing Frameworks for Adaptive and Intelligent Systems | Mohammed Wasid (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208428334 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 131756204

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Wasid, Mohammed; AHMAD, SHAHNAWAZ
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Taschenbuch. Condition: Neu. 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. Seller Inventory # 9786208428334

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Paperback. Condition: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786208428334

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