soft computing frameworks adaptive de wasid mohammed (11 résultats)

Etat : New. In.

Etat : New.

Paperback. Etat : 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Etat : 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Etat : New.

Paperback. Etat : 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 108 pp. Englisch.

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

Taschenbuch. Etat : 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.

Etat : New. Print on Demand.

Etat : New. PRINT ON DEMAND.