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Computational Intelligence de Amit Konar

Computational Intelligence

Autor Amit Konar
en Limba Engleză Hardback – 30 mar 2005
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.
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Specificații

ISBN-13: 9783540208983
ISBN-10: 3540208984
Pagini: 736
Ilustrații: XXIV, 708 p.
Dimensiuni: 160 x 241 x 44 mm
Greutate: 1.21 kg
Ediția:2005
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Graduate

Cuprins

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.

Recenzii

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)

Textul de pe ultima copertă

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.

Caracteristici

First text on the subject that covers all aspects of computational intelligence First to provide both theory and applications of computational intelligence in a single volume in a lucid, precise and highly comprehensive style Covers fundamentals such as fuzzy logic, neurocomputing, genetic algorithms and belief networks in detail and presents applications in database, expert systems, computer networks, image understanding and robotics Contains many numerical examples to illustrate the concepts and homework problems with sufficient hints so that the students can solve them on their own Includes supplementary material: sn.pub/extras

Notă biografică

Dr. Pratyusha Rakshit received her B.Tech. degree in Electronics and Communication Engineering (ECE) from the Institute of Engineering and Management, Kolkata, India, and her M.E. degree in Control Engineering from the Department of Electronics and Telecommunication Engineering (ETCE), Jadavpur University, Kolkata, India in 2010 and 2012, respectively. She was awarded her Ph.D. (Engineering) degree from Jadavpur University, India, in 2016 and is currently an Assistant Professor at its ETCE Department. She was awarded Gold Medals for securing the highest marks in B.Tech. in ECE and among all the courses of M.E. respectively in 2010 and 2012. She was the recipient of the CSIR Senior Research Fellowship, INSPIRE Fellowship and UGC UPE-II Junior Research Fellowship. Her principal research interests include artificial and computational intelligence, evolutionary computation, robotics, bioinformatics, pattern recognition, fuzzy logic, cognitive science and human-computer interaction. She is the author of over 50 papers published in top international journals and conference proceedings. She also serves as a reviewer for IEEE-TFS, IEEE-SMC: Systems, Neurocomputing, Information Sciences, and Applied Soft Computing. Dr. Amit Konar is currently a Professor at the Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, India. Dr. Konar is the author of over 350 publications, including books/monographs, peer-reviewed book chapters and papers, all with leading international publishers. He is an Associate Editor of several prestigious journals, including IEEE Transactions, Elsevier, Springer and IOS Press, the Netherlands. He has undertaken several prestigious research projects, including UGC's departmental research support (DRS) scheme, DIT's national project on Perception Engineering and UGC's excellence program in Cognitive Science. Dr. Konar was a recipient of the AICTE-accredited 1997-2000 Career Award for young teachers. He has been nominated as a Fellow of the National Academy of Engineering, and his current research interests include human-computer interfacing, cognitive neuroscience, robotics and machine intelligence.