Soft Computing: Theories and Applications: Proceedings of SoCTA 2016, Volume 1: 583 (Advances in Intelligent Systems and Computing)

📘 Book Details

• Author: Millie Pant

• Publisher: Springer

• Edition: 1st ed. 2018

• Binding: Paperback (Import)

• Number of Pages: 865

• Release Date: 26-11-2017

• EAN: 9789811056864

• Dimensions: 9.3 x 6.1 x 1.7 inches

• Language: English

📝 About the Book

Soft Computing: Theories and Applications is an insightful and comprehensive book that delves into the wide-ranging applications of soft computing techniques. Spanning domains such as medical and healthcare, supply chain management, image processing, and cryptanalysis, this book provides the proceedings of the International Conference on Soft Computing: Theories and Applications (SoCTA 2016). It aims to inspire researchers and students in the ever-evolving field of soft computing, offering practical insights into fuzzy logic, neural networks, and nature-inspired algorithms.

📚 Key Features:

• Comprehensive Exploration of Soft Computing: The book covers a variety of computational techniques, including fuzzy logic, neural networks, and evolutionary algorithms, exploring their applicability in solving complex real-life problems.

• Diverse Applications: The text presents significant case studies and examples from diverse fields, including medical diagnostics, healthcare systems, cryptanalysis, and supply chain optimization, showcasing how soft computing techniques are revolutionizing these industries.

• Insights from Leading Experts: Derived from the SoCTA 2016 conference, the book provides valuable perspectives from prominent researchers, academicians, scientists, and industrialists in the field of soft computing.

• Multidisciplinary Approach: This book brings together a range of theoretical and practical insights, making it a crucial resource for anyone working with soft computing techniques across industries.

• Encouraging Young Researchers: Specially designed to encourage young researchers and students, this book offers a platform for presenting new ideas and research outcomes in soft computing, fostering innovation and exploration.

🔑 Key Themes Explored:

• Fuzzy Logic: Practical applications of fuzzy systems in decision-making processes across various fields.

• Neural Networks: Detailed analysis of neural network models and their role in solving complex pattern recognition problems.

• Nature-Inspired Algorithms: Exploring evolutionary algorithms, genetic programming, and swarm intelligence for real-world problem-solving.

• Interdisciplinary Applications: Real-world examples and case studies from healthcare, logistics, cryptography, and more, demonstrating the versatility of soft computing.

🎓 Who Should Read This Book?

• Researchers & Academicians: A must-read for experts in soft computing and computational intelligence, offering deep insights into emerging trends and applications.

• Students & Young Researchers: Perfect for students in fields such as computer science, artificial intelligence, and engineering, as well as budding researchers seeking inspiration.

• Industrial Professionals: Ideal for professionals in sectors like healthcare, supply chain management, cybersecurity, and image processing who wish to apply soft computing techniques in their work.

🌍 Why This Book Matters

Soft computing continues to rise in importance due to its ability to solve complex and ill-structured problems. By presenting research, applications, and theoretical concepts in one volume, this book is a valuable addition to the library of anyone interested in understanding how these techniques are shaping the future of computing across industries.