Understanding Neural Networks And Fuzzy Logic: Basic Concepts And Applications
暫譯: 理解神經網絡與模糊邏輯：基本概念與應用

Description:

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.