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.
Table of Contents
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. MATLAB GUI for Soft Computing. MATLAB Source Codes for Soft Computing. Book website.
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.