Fuzzy Hardware : Architectures and Applications

Gideon Langholz

ISBN 10: 0792380290 / ISBN 13: 9780792380290

Published by Springer US, Springer US, 1997

About this Item

Druck auf Anfrage Neuware - Printed after ordering - Fuzzy hardware developments have been a major force driving the applications of fuzzy set theory and fuzzy logic in both science and engineering. This volume provides the reader with a comprehensive up-to-date look at recent works describing new innovative developments of fuzzy hardware. An important research trend is the design of improved fuzzy hardware. There is an increasing interest in both analog and digital implementations of fuzzy controllers in particular and fuzzy systems in general. Specialized analog and digital VLSI implementations of fuzzy systems, in the form of dedicated architectures, aim at the highest implementation efficiency. This particular efficiency is asserted in terms of processing speed and silicon utilization. Processing speed in particular has caught the attention of developers of fuzzy hardware and researchers in the field. The volume includes detailed material on a variety of fuzzy hardware related topics such as: Historical review of fuzzy hardware research Fuzzy hardware based on encoded trapezoids Pulse stream techniques for fuzzy hardware Hardware realization of fuzzy neural networks Design of analog neuro-fuzzy systems in CMOS digital technologies Fuzzy controller synthesis method Automatic design of digital and analog neuro-fuzzy controllers Electronic implementation of complex controllers Silicon compilation of fuzzy hardware systems Digital fuzzy hardware processing Parallel processor architecture for real-time fuzzy applications Fuzzy cellular systems Fuzzy Hardware: Architectures and Applications is a technical reference book for researchers, engineers and scientists interested in fuzzy systems in general and in building fuzzy systems in particular.

Seller Inventory # 9780792380290

Bibliographic Details

• Title: Fuzzy Hardware : Architectures and Applications
• Publisher: Springer US, Springer US
• Publication Date: 1997
• Language: English
• ISBN 10: 0792380290
• ISBN 13: 9780792380290
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 29D millimeters 241 millimeters width by 160 millimeters height by 29 millimeters depth
• Weight: 834 grams

About this title

Synopsis

Fuzzy hardware developments have been a major force driving the applications of fuzzy set theory and fuzzy logic in both science and engineering. This volume provides the reader with a comprehensive up-to-date look at recent works describing new innovative developments of fuzzy hardware.
An important research trend is the design of improved fuzzy hardware. There is an increasing interest in both analog and digital implementations of fuzzy controllers in particular and fuzzy systems in general. Specialized analog and digital VLSI implementations of fuzzy systems, in the form of dedicated architectures, aim at the highest implementation efficiency. This particular efficiency is asserted in terms of processing speed and silicon utilization. Processing speed in particular has caught the attention of developers of fuzzy hardware and researchers in the field.
The volume includes detailed material on a variety of fuzzy hardware related topics such as:

• Historical review of fuzzy hardware research
• Fuzzy hardware based on encoded trapezoids
• Pulse stream techniques for fuzzy hardware
• Hardware realization of fuzzy neural networks
• Design of analog neuro-fuzzy systems in CMOS digital technologies
• Fuzzy controller synthesis method
• Automatic design of digital and analog neuro-fuzzy controllers
• Electronic implementation of complex controllers
• Silicon compilation of fuzzy hardware systems
• Digital fuzzy hardware processing
• Parallel processor architecture for real-time fuzzy applications
• Fuzzy cellular systems

Fuzzy Hardware: Architectures and Applications is a technical reference book for researchers, engineers and scientists interested in fuzzy systems in general and in building fuzzy systems in particular.