Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences

1. Auflage 2021
ISBN: 978-0-367-75068-8
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 232 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 503 g

Reihe: Edge AI in Future Computing

Soft computing techniques are no longer limited to the arena of computer science. The discipline has an exponentially growing demand in other branches of science and engineering and even into health and social science. This book contains theory and applications of soft computing in engineering, health, and social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems, evolutionary algorithms and hybrid systems are discussed. It also contains important chapters in machine learning and clustering. This book presents a survey of the existing knowledge and also the current state of art development through original new contributions from the researchers. This book may be used as a one-stop reference book for a broad range of readers worldwide interested in soft computing. In each chapter, the preliminaries have been presented first and then the advanced discussion takes place. Learners and researchers from a wide variety of backgrounds will find several useful tools and techniques to develop their soft computing skills. This book is meant for graduate students, faculty and researchers willing to expand their knowledge in any branch of soft computing. The readers of this book will require minimum prerequisites of undergraduate studies in computation and mathematics.

Zielgruppe

Academic

Autoren/Hrsg.

Debnath, Pradip

Mohiuddine, S A

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Mathematik | Informatik Mathematik Algebra Zahlentheorie

Inhaltsverzeichnis

1. Revisiting the Machine Learning Algorithms and Applications in Engineering and Computer Science Satyabrata Nath, Purndendu Das, Pradip Debnath2. Detection and Prevention of Cancer Growth Through Machine Learning and Some Mathematical Softwares Kaushik Dehingia, Vishnu Narayan Mishra, Bhagya Jyoti Nath3. A Review on Soft Computing Techniques in Nanomagnetism and its Impact on Bio-Medical Application Korobi Konwar, Pritam Deb4. A Mediative Fuzzy Logic Based Approach to The Goal programming problem: In the Context of Multi-Objective Solid Transportation Problem M. K. Sharma, Nitesh Dhiman, Kamini Vishnu Narayan Mishra5. H-U-R STABILITY RESULTS OF MIXED TYPE ADDITIVE - QUADRATIC FUNCTIONAL EQUATION IN FUZZY - NORMED SPACES BY TWO DIFFERENT APPROACHES K. Tamilvanan, N. Loganathan, N. Revathi6. Tauberian Theorems for Intuitionistic Fuzzy Normed Spaces Vakeel Ahmad Khan, Mobeen Ahmad7. Picture Fuzzy Soft Matrices Srinivasan Vijayabalaji8. Cubic n-Inner Product SpaceSrinivasan Vijayabalaji, S. Sivaramakrishnan, P. Balaji9. Convergence Methods for Double Sequences and Applications in Neutrosophic Normed Spaces Omer Kisi10. Intuitionistic fuzzy generalized Lucas ideal convergent sequence spaces associated with Orlicz function Kuldip Raj, Kavita Saini11. Soft Computing Techniques in Social Sciences: The Recent Developments Anuradha Bhattacharjee12. An Approach Based on Fuzzy Logic for Analysis on Product Development in Open Innovation ContextRicardo Santos, Antonio Abreu, J. M. F. Calado, Jose Miguel Soares, Ana Dias, Fernanda Mendes

Über Autor(innen)

Dr. Pradip Debnath is an assistant professor (in Mathematics) in the Department of Applied Science and Humanities of Assam University, Silchar.

S. A. Mohiuddine is a full professor of Mathematics at King Abdulaziz University, Jeddah, Saudi Arabia.