
Soft Computing Frameworks for Adaptive and Intelligent Systems
LAP Lambert Academic Publishing
Published on 11. February 2025
Book
Paperback/Softback
108 pages
978-620-8-42833-4 (ISBN)
Description
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.
More details
Language
English
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 8 mm
Weight
179 gr
ISBN-13
978-620-8-42833-4 (9786208428334)
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Schweitzer Classification
Persons
Dr. Mohammed Wasid, Assistant Professor at the Bennett University, India, has published several articles in International Journals, Conferences, and Books in the area of Deep Learning and Computational Web Intelligence. Dr. Shahnawaz Ahmad, also at Bennett, specializes in cloud computing and artificial intelligence, with more than 40 publications.