Soft Computing Frameworks for Adaptive and Intelligent Systems (Paperback)

Mohammed Wasid

ISBN 10: 6208428335 / ISBN 13: 9786208428334

Published by LAP Lambert Academic Publishing, 2025

About this Item

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. Seller Inventory # 9786208428334

Bibliographic Details

Title: Soft Computing Frameworks for Adaptive and ...

Publisher: LAP Lambert Academic Publishing

Publication Date: 2025

Binding: Paperback

Condition: new

About this title

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.