Shukla / Tiwari / Kala Real Life Applications of Soft Computing

1. Auflage 2012
ISBN: 978-1-4398-2289-0
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 686 Seiten

Rapid advancements in the application of soft computing tools and techniques have proven valuable in the development of highly scalable systems and resulted in brilliant applications, including those in biometric identification, interactive voice response systems, and data mining. Although many resources on the subject adequately cover the theoretic concepts, few provide clear insight into practical application.

Filling this need, Real Life Applications of Soft Computing explains such applications, including the underlying technology and its implementation. While these systems initially seem complex, the authors clearly demonstrate how they can be modeled, designed, and implemented. Written in a manner that makes it accessible to novices, the book begins by covering the theoretical foundations of soft computing. It supplies a concise explanation of various models, principles, algorithms, tools, and techniques, including artificial neural networks, fuzzy systems, evolutionary algorithms, and hybrid algorithms.

Supplying in-depth exposure to real life systems, the text provides:

- Multi-dimensional coverage supported by references, figures, and tables

- Warnings about common pitfalls in the implementation process, as well as detailed examinations of possible solutions

- A timely account of developments in various areas of application

- Solved examples and exercises in each chapter

Detailing a wide range of contemporary applications, the text includes coverage of those in biometric systems, including physiological and behavioral biometrics. It also examines applications in legal threat assessment, robotic path planning, and navigation control. The authors consider fusion methods in biometrics and bioinformatics and also provide effective disease identification techniques.

Complete with algorithms for robotic path planning, the book addresses character recognition and presents the picture compression technique by using a customized hybrid algorithm. The authors conclude with a discussion of parallel architecture for artificial neural networks and supply guidelines for creating and implementing effective soft computing designs.

Zielgruppe

Scientists, researchers, practitioners, professionals, postgraduates, and undergraduates.

Autoren/Hrsg.

Shukla, Anupam

Tiwari, Ritu

Kala, Rahul

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

SOFT COMPUTING CONCEPTS
Introduction
Artificial Neural Network – I
Artificial Neural Network – II
Fuzzy Inference Systems
Evolutionary Algorithms
Hybrid Systems
SOFT COMPUTING IN BIO SYSTEMS
Physiological Biometrics
Behavioral Biometrics
Fusion Methods in Biometrics
Bioinformatics
Biomedical Systems – I
Biomedical Systems – II
SOFT COMPUTING IN OTHER APPLICATION AREAS
Legal Threat Assessment
Robotic Path Planning and Navigation Control
Character Recognition
Picture Learning
Other Real Life Application
SOFT COMPUTING IMPLEMENTATION ISSUES
Parallel Implementation of Artificial Neural Networks
A Guide for Problem Solving using Soft Computing
APPENDICES
Appendix A: MATLAB GUI for Soft Computing
Appendix B: MATLAB Source Codes for Soft Computing
Appendix C: Book Website

Über Autor(innen)

Dr. Anupam Shukla is an associate professor in the IT Department of the Indian Institute of Information Technology and Management Gwalior. He has 22 years of teaching experience. His research interest includes speech processing, artificial intelligence, soft computing and bioinformatics. He has published over 120 papers in various national and international journals/conferences. He is referee for 10 international journals including Elsevier, IEEE, and ACM computing and in the editorial board of International Journal of AI and Soft Computing. He also received Gold Medal from Jadavpur University during his postgraduate studies.
Dr. Ritu Tiwari is an assistant professor in the IT Department of Indian Institute of Information Technology and Management Gwalior. Her field of research includes biometrics, artificial neural networks, signal processing, robotics and soft computing. She has published around 50 papers in various national and international journals/conferences. She has received Young Scientist Award from Chhattisgarh Council of Science & Technology in the year 2006. She also received Gold Medal in her post graduation from NIT, Raipur.
Rahul Kala is a student at the Indian Institute of Information Technology and Management Gwalior. His areas of research are hybrid soft computing, robotic planning, biometrics, artificial intelligence, and soft computing. He has published over 25 papers in various international and national journals/conferences. He also takes a keen interest toward free/open source software. He secured All India 8th position in Graduates Aptitude Test in Engineeging-2008 with a percentile of 99.84. Rahul is the winner of Lord of the Code Scholarship Contest organized by KReSIT, IIT Bombay and Red Hat. He also secured seventh position in ACM-International Collegiate Programming Contest Kanpur Regional 2007.