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03373nam a22005055i 4500 |
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978-3-319-26656-5 |
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DE-He213 |
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20170518054032.0 |
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cr nn 008mamaa |
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151221s2016 gw | s |||| 0|eng d |
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|a 9783319266565
|9 978-3-319-26656-5
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|a 10.1007/978-3-319-26656-5
|2 doi
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|d GrThAP
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|a Q342
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|a UYQ
|2 bicssc
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|a COM004000
|2 bisacsh
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|a 006.3
|2 23
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|a Ponce-Cruz, Pedro.
|e author.
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|a Fuzzy Logic Type 1 and Type 2 Based on LabVIEW™ FPGA
|h [electronic resource] /
|c by Pedro Ponce-Cruz, Arturo Molina, Brian MacCleery.
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| 264 |
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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| 300 |
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|a XVI, 233 p. 203 illus., 52 illus. in color.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
1 |
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|a Studies in Fuzziness and Soft Computing,
|x 1434-9922 ;
|v 334
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| 505 |
0 |
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|a Literature Review for Digital Implementations of Fuzzy Logic Type 1 and Type 2 -- LABVIEW™ FPGA -- Real-Time Fuzzy-Logic Controllers -- Fuzzy Logic Type 1 and Type 2 LABVIEW™ FPGA Toolkit.
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| 520 |
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|a This book is a comprehensive introduction to LabVIEW FPGA™, a package allowing the programming of intelligent digital controllers in field programmable gate arrays (FPGAs) using graphical code. It shows how both potential difficulties with understanding and programming in VHDL and the consequent difficulty and slowness of implementation can be sidestepped. The text includes a clear theoretical explanation of fuzzy logic (type 1 and type 2) with case studies that implement the theory and systematically demonstrate the implementation process. It goes on to describe basic and advanced levels of programming LabVIEW FPGA and show how implementation of fuzzy-logic control in FPGAs improves system responses. A complete toolkit for implementing fuzzy controllers in LabVIEW FPGA has been developed with the book so that readers can generate new fuzzy controllers and deploy them immediately. Problems and their solutions allow readers to practice the techniques and to absorb the theoretical ideas as they arise. Fuzzy Logic Type 1 and Type 2 Based on LabVIEW FPGA™, helps students studying embedded control systems to design and program those controllers more efficiently and to understand the benefits of using fuzzy logic in doing so. Researchers working with FPGAs find the text useful as an introduction to LabVIEW and as a tool helping them design embedded systems.
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|a Engineering.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Computational intelligence.
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| 650 |
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|a Electronic circuits.
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|a Engineering.
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| 650 |
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|a Computational Intelligence.
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| 650 |
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|a Circuits and Systems.
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| 650 |
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|a Artificial Intelligence (incl. Robotics).
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| 700 |
1 |
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|a Molina, Arturo.
|e author.
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| 700 |
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|a MacCleery, Brian.
|e author.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783319266558
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| 830 |
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|a Studies in Fuzziness and Soft Computing,
|x 1434-9922 ;
|v 334
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-319-26656-5
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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