CPGA100
Abstract: 80386 programmers manual CHMC 37 PLCC84 CHMC 46 matlab code for half adder 1x16 DeMux CHMC S 48
Contextual Info: SGS-THOMSON $ 7 . W A R .P . 1.1 r a o œ n L i î M f i® ( g i WEIGHT ASSOCIATIVE RULE PROCESSOR ADVANCED DATA • High Speed Rules Processing ■ Antecedent Membership Functions with any Shape ■ Up to 256 Rules (4 Antecedents, 1 Consequent ■ Up to 16 Input Configurable Variables
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100-pin
CPGA100
84-lead
007722b
80386 programmers manual
CHMC 37
PLCC84
CHMC 46
matlab code for half adder
1x16 DeMux
CHMC S 48
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Cqfp256
Abstract: RQFP240 SI-EX-TCA Act2 FPGA CQFP 172 A1280A SDO RQFP208 06M7374 ACTEL A42MX09 PQFP208 RT1280A
Contextual Info: Silicon Explorer II User's Guide Actel Corporation, Mountain View, CA 94043-4655 2003 Actel Corporation. All rights reserved. Printed in the United States of America Part Number: 5029134-1 No part of this document may be copied or reproduced in any form or by any means without
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ACT1/40MX
Cqfp256
RQFP240
SI-EX-TCA
Act2 FPGA CQFP 172
A1280A SDO
RQFP208
06M7374
ACTEL A42MX09
PQFP208
RT1280A
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matlab simulator communication
Abstract: fuzzy logic library c code fuzzy logic c code matlab fuzzy set PLCC68 W.A.R.P. 1.1 W.A.R.P.2.0 adaptive matlab code
Contextual Info: AFM 1.0 ADAPTIVE FUZZY MODELLER ADVANCED DATA Up to 8 Input Variables and 4 Output Variables Up to 8 Fuzzy Sets for each Input Variables Up to 214 Fuzzy Rules Rules Learning Phase using an unsupervised WTA-FAM Membership Functions Learning Phase using a supervised BACK-FAM
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80386 programmers manual
Abstract: STFLSTUDIO10KIT w.a.r.p. 1.0 PLCC84 PF319 FUZZY CPGA100
Contextual Info: W.A.R.P. 1.1 WEIGHT ASSOCIATIVE RULE PROCESSOR ADVANCED DATA High Speed Rules Processing Antecedent Membership Functions with any Shape Up to 256 Rules 4 Antecedents,1 Consequent Up to 16 Input Configurable Variables Up to 16 Membership Functions for an Input
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100-pin
CPGA100
84-lead
PLCC84
80386 programmers manual
STFLSTUDIO10KIT
w.a.r.p. 1.0
PLCC84
PF319
FUZZY
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PLCC68
Abstract: matlab for fuzzy logic
Contextual Info: PROCESSORS & PERIPHERALS FUZZY LOGIC PRODUCTS W.A.R.P. FAMILY - HCMOS FUZZY DEDICATED MICROPROCESSORS The W.A.R.P. family is made up of high performance VLSI fuzzy logic microprocessors operating with linguistic variable and human reasoning. It is aimed at top end applications in high speed control system working stand-alone or like a
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40MHz.
STFLWARP11/PG-PL
STFLWARP20/PL
CPGA100-PLCC84
PLCC68
STFLSTUDIO10/KIT
STFLWARP11/PG
RS-232
STFLAFM10/SW
PLCC68
matlab for fuzzy logic
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CPGA100
Contextual Info: rz7 SGS-THOMSON * 7 # . H O Ê lM ilL IO T [ii!lD ( g @ W .A .R .P . 1 .1 WEIGHT ASSOCIATIVE RULE PROCESSOR ADVANCED DATA • High Speed Rules Processing ■ Antecedent Membership Functions with any Shape ■ Up to 256 Rules (4 Antecedents, 1 Consequent)
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CPGA100
PLCC84
100-pin
CPGA100
84-lead
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PDF
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matlab fuzzy set
Abstract: W.A.R.P. 1.1 fuzzy logic library c code matlab PLCC68 matlab simulator communication adaptive matlab code matlab programs in matlab 7.0
Contextual Info: AFM 1.0 ADAPTIVE FUZZY MODELLER ADVANCED DATA Up to 8 Input Variables and 4 Output Variables Up to 8 Fuzzy Sets for each Input Variables Up to 214 Fuzzy Rules Rules Learning Phase using an unsupervised WTA-FAM Membership Functions Learning Phase using a supervised BACK-FAM
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mte maxim
Abstract: CHMC 37
Contextual Info: 5 7 . SGS-THOMSON M Ê iœ iL iC T l iÊ S W .A .R .P . 1 .1 W E IG H T ASSOCIATIVE RULE PRO C ESSO R ADVANCED DATA • H igh spe e d Rules Processing ■ Antecedent Membership Functions with any Shape ■ Up to 256 Rules 4 Antecedents, 1 Consequent ■ Up to 16 Input Configurable Variables
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100-pin
CPGA100
84-lead
PLCC84
mte maxim
CHMC 37
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