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Rapid advancements in the application of soft computing tools and techniques have proven valuable in the development of highly scalable systems. Although many resources on the subject adequately cover the theoretic concepts, few provide clear insight into their practical application. Filling this need, this book explains such applications, including the underlying technology and its implementation. It covers the theoretical foundations of soft computing and supplies a concise explanation of various models, principles, algorithms, tools, and techniques, including artificial neural networks, fuzzy systems, evolutionary algorithms, and hybrid algorithms.
Table des matières
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.
A propos de l'auteur
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.
Résumé
Rapid advancements in the application of soft computing tools and techniques have proven valuable in the development of highly scalable systems.
