Computational Intelligence

• An Introduction to Computational Intelligence.- Fuzzy Sets and Relations.- Fuzzy Logic and Approximate Reasoning.- Fuzzy Logic in Process Control.- Fuzzy Pattern Recognition.- Fuzzy Databases and Possibilistic Reasoning.- to Machine Learning Using Neural Nets.- Supervised Neural Learning Algorithms.- Unsupervised Neural Learning Algorithms.- Competitive Learning Using Neural Nets.- Neuro-dynamic Programming by Reinforcement Learning.- Evolutionary Computing Algorithms.- Belief Calculus and Probabilistic Reasoning.- Reasoning in Expert Systems Using Fuzzy Petri Nets.- Fuzzy Models for Face Matching and Mood Detection.- Behavioral Synergism of Soft Computing Tools.- Object Recognition from Gray Images Using Fuzzy ADALINE Neurons.- Distributed Machine Learning Using Fuzzy Cognitive Maps.- Machine Learning Using Fuzzy Petri Nets.- Computational Intelligence in Tele-Communication Networks.- Computational Intelligence in Mobile Robotics.- Emerging Areas of Computational Intelligence.- Research Problems for Graduate Thesis and Pre-Ph D Preparatory Courses.

From the reviews:Most complete book on computational intelligence."The book Computational Intelligence: Principles, Techniques and Applications by Dr Amit Konar provides comprehensive and excellent coverage of current topics in computational intelligence. … the book is highly suitable for use by pre-Ph.D. students, researchers, as well as practitioners in science and engineering. … The book cites numerous references at the end of each chapter." (Steve C. Chiu, International Journal of Robust and Nonlinear Control, Vol. 18, 2008)