Understanding Neural Networks and Fuzzy Logic

Understand the fundamentals of the emerging field of fuzzy neural networks, their applications and the most used paradigms with this carefully organized state-of-the-art textbook. Previously tested at a number of noteworthy conference tutorials, the simple numerical examples presented in this book provide excellent tools for progressive learning. UNDERSTANDING NEURAL NETWORKS AND FUZZY LOGIC offers a simple presentation and bottom-up approach that is ideal for working professional engineers, undergraduates, medical/biology majors, and anyone with a nonspecialist background.

Sponsored by:
IEEE Neural Networks Council Preface.

Acknowledgments.

Introduction.

Biological Neural Networks.

Artificial Neural Networks: Concepts

Neural Network Paradigms.

Fuzzy Logic.

Fuzzy Neural Networks.

Applications.

Chapter Review Answers.

Index.

Stamatios V. Kartalopoulus, PhD, is the Williams Professor in Telecommunications Networking at the ECE/TCOM graduate program at the University of Oklahoma. He has been a Distinguished Speaker of IEEE and has been invited to give keynote speeches internationally. For twenty-two years prior, Dr. Kartalopoulos defined, led, and managed research and development teams in Bell Laboratories, where he received the President's Award and other awards for excellence. A Fellow of IEEE, he has published more than 250 scientific papers and ten books, and has been awarded twenty patents. In 2010, he received the 2009 Choice Award for Outstanding Academic Titles for his book Security of Information and Communication Networks, and also received the award for Top Cited Article in the period 2005-2010 for his FTTH/B paper in Optical Systems and Networks. Electrical Engineering Understanding Neural Networks and Fuzzy Logic Basic Concepts and Applications Stamatios v. Kartalopoulos, PhD, AT&T Bell Laboratories A Volume in the IEEE Press Understanding Science & Technology Series Understand the fundamentals of the emerging field of fuzzy neural networks, their applications and the most used paradigms with this carefully-organized state-of-the-art textbook. Previously tested at a number of noteworthy conference tutorials, the simple numerical examples presented in this book act as an excellent tool for progressive learning. Topics covered include:

• Biological neural networks
• Fuzzy logic
• Artificial neural networks
• Neural network paradigms
• Artificial neuron modeling
• Fuzzy neural networks
• Applications, and more!

Understanding Neural Networks and Fuzzy Logic offers a simple presentation and bottom-up approach that is ideal for working professional engineers, undergraduates, medical/biology majors, and anyone with a nonspecialist background. Also of interest from IEEE Press… Industrial Applications of Fuzzy Control and Intelligent Systems Edited by Drs. John Yen and Reza Langari, Texas A & M University, and Dr. Lotfi A. Zadeh, University of California at Berkeley 1995 / Hardcover / 350 pp / IEEE Order No. PC4002 / ISBN 0-7803-1048-9 Fuzzy Models for Pattern Recognition Methods That Search for Structures in Data Edited by James C. Bezdek, University of West Florida, and Sankar K. Pal, Indian Statistical Institute, Calcutta 1992 / Softcover / 552 pp / IEEE Order No. PC3178 / ISBN 0-7803-0422-5 About the series… The IEEE Press Understanding Science & Technology Series treats important topics in science and technology in a simple and easy-to-understand manner. Designed expressly for the nonspecialist engineer, scientist, or technician, as well as the technologically curious, each volume stresses practical information over mathematical theorems and complicated derivations.