Understanding Neural Networks and Fuzzy Logic

Basic Concepts and Applications

AvStamatios V. Kartalopoulos

Häftad, Engelska, 1995

Del 2 i serien IEEE Press Understanding Science & Technology Series

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Beskrivning

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

Produktinformation

Utgivningsdatum:1995-08-29
Mått:153 x 233 x 15 mm
Vikt:363 g
Format:Häftad
Språk:Engelska
Serie:IEEE Press Understanding Science & Technology Series
Antal sidor:232
Förlag:John Wiley & Sons Inc
ISBN:9780780311282

Utforska kategorier

Artificiell intelligens inom Data och IT

Mer om författaren

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.

Innehållsförteckning

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