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Books > Professional & Technical > Energy technology & engineering > Electrical engineering
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Fuzzy Hardware - Architectures and Applications (Paperback, Softcover reprint of the original 1st ed. 1998)
Loot Price: R2,833
Discovery Miles 28 330
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Fuzzy Hardware - Architectures and Applications (Paperback, Softcover reprint of the original 1st ed. 1998)
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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.
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