Computational Intelligence Paradigms Theory

Computational Intelligence Paradigms: Theory & Applications using MATLAB (repost)

Computational Intelligence Paradigms: Theory & Applications using MATLAB by S. Sumathi and Surekha Paneerselvam
English | 2010 | ISBN: 143980902X | PDF | 851 pages | 8,7 MB

Offering a wide range of programming examples implemented in MATLAB, Computational Intelligence Paradigms: Theory and Applications Using MATLAB presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous intelligent computing methodologies and algorithms used in CI research.
Computational Intelligence Paradigms: Theory & Applications using MATLAB (repost)

S. Sumathi, Surekha Paneerselvam, "Computational Intelligence Paradigms: Theory & Applications using MATLAB"
2010 | ISBN: 143980902X | PDF | 851 pages | 8,7 MB
Computational Intelligence Paradigms: Theory & Applications using MATLAB (repost)

Computational Intelligence Paradigms: Theory & Applications using MATLAB
by S. Sumathi, Surekha Paneerselvam
English | 2010 | ISBN: 143980902X | 851 pages | PDF | 5.9 MB
Computational Intelligence Paradigms: Theory & Applications using MATLAB (Repost)

S. Sumathi, "Computational Intelligence Paradigms: Theory & Applications using MATLAB"
CRC Press; 1 edition | English | 2010-01-05 | ISBN: 143980902X | 835 pages | PDF | 8.6 mb
Computational Intelligence Paradigms: Theory & Applications using MATLAB

S. Sumathi, Surekha Paneerselvam, "Computational Intelligence Paradigms: Theory & Applications using MATLAB"
CRC Press | 2010 | ISBN: 143980902X | 851 pages | PDF | 6 MB
Advanced Computational Intelligence Paradigms in Healthcare 5: Intelligent Decision Support Systems

Advanced Computational Intelligence Paradigms in Healthcare 5: Intelligent Decision Support Systems (Studies in Computational Intelligence) by Sheryl Brahnam
English | Oct. 14, 2010 | ISBN: 3642160948 | 235 Pages | PDF | 3 MB

This book is a continuation of the previous volumes of our series on Advanced Computational Intelligence Paradigms in Healthcare. The recent advances in computational intelligence paradigms have highlighted the need of intelligent systems in healthcare.
Advanced Computational Intelligence Paradigms in Healthcare - 1 (Studies in Computational Intelligence) by Hiroyuki Yoshida

Advanced Computational Intelligence Paradigms in Healthcare - 1 (Studies in Computational Intelligence) by Hiroyuki Yoshida
English | Mar 28, 2007 | ISBN: 3540475230 | 305 Pages | PDF | 31 MB

This book presents some of the most recent research results on the applications of computational intelligence in healthcare. The contents include: information model for management of clinical content; state-based model for management of type II diabetes; case-based reasoning in medicine;…
Advanced Computational Intelligence Paradigms in Healthcare 6 [Repost]

Sheryl Brahnam, ‎Lakhmi C. Jain - Advanced Computational Intelligence Paradigms in Healthcare 6: Virtual Reality in Psychotherapy, Rehabilitation, and Assessment
Published: 2011-03-08 | ISBN: 3642178235 | PDF | 312 pages | 4 MB
Computational Intelligence Paradigms in Advanced Pattern Classification (Studies in Computational Intelligence)

Marek R. Ogiela, "Computational Intelligence Paradigms in Advanced Pattern Classification (Studies in Computational Intelligence)"
Publisher: S–-ger | ISBN: 3642240488 | 2012 | PDF | 212 pages | 10.2 MB
Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/SIMULINK®

Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/SIMULINK® by S. Sumathi
English | 10 Dec. 2015 | ISBN: 1498743706 | 623 Pages | PDF/AZW4 (True) | 45.09 MB/48.26 MB

Considered one of the most innovative research directions, computational intelligence (CI) embraces techniques that use global search optimization, machine learning, approximate reasoning, and connectionist systems to develop efficient, robust, and easy-to-use solutions amidst multiple decision variables, complex constraints, and tumultuous environments.