Computational Intelligence [electronic resource] : Principles, Techniques and Applications / by Amit Konar.Material type: TextLanguage: English Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005Description: XXIV, 708p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540273356Subject(s): Engineering | Artificial intelligence | Optical pattern recognition | Physics | Engineering mathematics | Vibration | Control engineering systems | Engineering | Appl.Mathematics/Computational Methods of Engineering | Artificial Intelligence (incl. Robotics) | Complexity | Vibration, Dynamical Systems, Control | Control , Robotics, Mechatronics | Pattern RecognitionAdditional physical formats: Printed edition:: No titleDDC classification: 519 LOC classification: TA329-348TA640-643Online resources: Click here to access online
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.
The book Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of Computational Intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of Fuzzy Sets and Logic, Neural Networks, Evolutionary Computing and Belief Networks. The application areas include Fuzzy Databases, Fuzzy Control, Image Understanding, Expert Systems, Object Recognition, Criminal Investigation, Telecommunication Networks and Intelligent Robots. The book contains many numerical examples and homework problems with sufficient hints so that the students can solve them on their own. Emerging areas of Computational Intelligence such as artificial life, particle swarm optimization, artificial immune systems, fuzzy chaos theory, rough sets and granular computing have also been addressed with examples in this book. The book ends with a discussion on a number of open- ended research problems in Computational Intelligence. Graduate students interested to pursue their research in this subject will greatly be benefited with these problems.