Understanding Neural Networks and Fuzzy Logic
Stamatios V. Kartalopoulos
€ 125.87
FREE Delivery in Ireland
Description for Understanding Neural Networks and Fuzzy Logic
Paperback. Series: IEEE Press Understanding Science & Technology Series. Num Pages: 232 pages, black & white illustrations. BIC Classification: UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 227 x 197 x 14. Weight in Grams: 360.
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
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
Product Details
Format
Paperback
Publication date
1995
Publisher
I.E.E.E.Press United States
Number of pages
232
Condition
New
Series
IEEE Press Understanding Science & Technology Series
Number of Pages
232
Place of Publication
, United States
ISBN
9780780311282
SKU
V9780780311282
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Stamatios V. Kartalopoulos
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 ... Read more
Reviews for Understanding Neural Networks and Fuzzy Logic