Understanding Neural Networks and Fuzzy Logic: Basic Concepts and Applications

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 networksFuzzy logicArtificial neural networksNeural network paradigmsArtificial neuron modelingFuzzy neural networksApplications, 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 volum e stresses practical information over mathematical theorems and complicated derivations.

Spis treści:
Preface.
Acknowledgments.
Introduction.
Biological Neural Networks.
Artificial Neural Networks: Concepts
Neural Network Paradigms.
Fuzzy Logic.
Fuzzy Neural Networks.
Applications.
Chapter Review Answers.
Index.

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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 networksFuzzy logicArtificial neural networksNeural network paradigmsArtificial neuron modelingFuzzy neural networksApplications, 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 19 92 / 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.