NI1000 nestor
Abstract: ZISC036 NLX-420 MD-1220 nestor neural network 250M NM6403 siemens ma N64000
Text: Using of microprocessor NM6403 for neural net emulation a a a a P.A. Chevtchenko , D.V. Fomine , V.M. Tchernikov , and P.E. Vixne a RC Module, 3 Eight March 4th Street, Box 166, Moscow, 125190, Russia, tel. +7-095-152-9335, fax. +7-095-152-4661, E-mail: fomin@module.vympel.msk.ru
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NM6403
NM6403,
64-bit
est90,
320C4x
NI1000 nestor
ZISC036
NLX-420
MD-1220
nestor
neural network
250M
siemens ma
N64000
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artificial neural network circuit diagram
Abstract: neural network Neural Semiconductor 7 segment display with alarm basic architecture of Pentium Processors cancer data computer Network Types diagram Neuron x112 relay 2080
Text: CHAPTER Neural Networks and more! 26 Traditional DSP is based on algorithms, changing data from one form to another through step-bystep procedures. Most of these techniques also need parameters to operate. For example: recursive filters use recursion coefficients, feature detection can be implemented by correlation
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hex to bin ttl
Abstract: pcb layout for fingerprint recognition DIN11 NC3001 NeuriCam
Text: NC3001 TOTEM NeuriCam Via Santa Maria Maddalena 12, 38100 Trento, Italy tel. +39-0461-260 552 - fax + 39-0461-260 617 e-mail: info@neuricam.com; http: www.neuricam.com NC3001 TOTEM Digital Processor for Neural Networks DATA SHEET Rel. 11/99 BRIEF SPECIFICATIONS
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NC3001
hex to bin ttl
pcb layout for fingerprint recognition
DIN11
NeuriCam
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mux 232
Abstract: NM6403 PLX PCI9054 7110A 9698 grabber MC420 MC421 MC426 MC427
Text: RESEARCH CENTER NeuroMatrix BM1 PCI/CompactPCI Video Image Processing VIP Development Set BM1 is a reconfigurable high-performance multiDSP development set designed for real-time video and image processing, signal processing and artificial neural networks.
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RS-232/485
MC420
NM6403
MC427
Z85C3
MC426
PCI9054
MC421
mux 232
PLX PCI9054
7110A
9698
grabber
MC420
MC421
MC426
MC427
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Untitled
Abstract: No abstract text available
Text: Fluent Soft Data Sheet Optional Vocabulary Builder in system or pre-compiled Feature Extraction Speech&Noise Database Vocabulary/ Grammar Speech Detection Acoustic Model HMM/Neural Net With Viterbi Search N Best Results Sensory’s FluentSoft technology and SDK’s enable small footprint speaker independent speech recognition
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Abstract: No abstract text available
Text: Fluent Soft Data Sheet Optional Vocabulary Builder in system or pre-compiled Feature Extraction Vocabulary/ Grammar Speech Detection Speech&Noise Database Acoustic Model HMM/Neural Net With Viterbi Search N Best Results Sensory’s FluentSoft technology and SDK’s enable small footprint speaker independent speech recognition
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HP4145
Abstract: No abstract text available
Text: Neuro-Bit Memristor i Variable and Programmable Resistance with Memory Description Features The Neuro-Bit is a chalcogenide based ion-conducting memristor that demonstrates dynamic resistance as a behavioral response to electrical stimuli, making it ideal for use in neuromorphic and artificial neuralnetworking circuits.
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16/44-pin
HP4145
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CSR 8670
Abstract: english grammar CSR BC05 Fluent CSR sdk markov ios speech recognition Sensory csr BC05 ROM
Text: Fluent Soft Data Sheet Optional Vocabulary Builder in system or pre-compiled Feature Extraction Vocabulary/ Grammar Speech Detection Speech&Noise Database Acoustic Model HMM/Neural Net With Viterbi Search N Best Results Sensory’s FluentSoft technology and SDK’s enable small footprint speaker independent speech recognition on
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abstract for wireless power transmission in ieee format
Abstract: neural network ADSP-21061 NM6403 NM6404 TMS320C6701 DSP TMS320C6701 DSASW00288060.txt abstract for Wireless communication in ieee format "DS-CDMA"
Text: Multi-User Detection for CDMA communications based on self organized neural networks structures Florent Carlier, Fabienne Nouvel, Jacques Citerne Laboratory for Components and Systems of Telecommunications 20 Avenue des Buttes de Coesmes 35043 Rennes Cedex, France
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p61-72,
abstract for wireless power transmission in ieee format
neural network
ADSP-21061
NM6403
NM6404
TMS320C6701
DSP TMS320C6701
DSASW00288060.txt
abstract for Wireless communication in ieee format
"DS-CDMA"
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neural network
Abstract: Transistor hall w12 NM6403
Text: NM6403 Software Development Kit Application Report Neural network performance evaluation test Written by Mikhail Zabaluev Contents INTRODUCTION. 3
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NM6403
neural network
Transistor hall w12
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Abstract: No abstract text available
Text: Data Sheet CM1K Pattern Recognition Chip with 1024 Neurons in Parallel Introduction CM1K is the first ASIC version of the CogniMem neural network. It features 1024 neurons working in parallel, capable of learning and recognizing patterns of up to 256-bytes in a few microseconds. The two
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256-bytes
cascad75
100-pin
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4 bit barrel shifter notes in vlsi
Abstract: baugh wooley block diagram baugh-wooley multiplier 8 bit Baugh Wooley multiplier booth multiplier 16 bit Baugh Wooley multiplier DESIGN AND IMPLEMENTATION 16-BIT BARREL SHIFTER gray-bin decoder baugh-wooley multiplier NC3002
Text: Via Santa Maria Maddalena 12, 38100 Trento, Italy tel. +39-0461-260 552 - fax + 39-0461-260 617 e-mail: info@neuricam.com; http: www.neuricam.com NC3002 TOTEM Digital Processor for Neural Networks DATA SHEET Rel. 12/99 General features The NC3002 is a digital VLSI parallel processor for fast learning and recognition with artificial neural
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4 bit barrel shifter notes in vlsi
baugh wooley
block diagram baugh-wooley multiplier
8 bit Baugh Wooley multiplier
booth multiplier
16 bit Baugh Wooley multiplier
DESIGN AND IMPLEMENTATION 16-BIT BARREL SHIFTER
gray-bin decoder
baugh-wooley multiplier
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block diagram baugh-wooley multiplier
Abstract: 74682 comparator 4 bit barrel shifter notes in vlsi baugh-wooley multiplier 74682 74682 logic application diagram baugh-wooley multiplier 16 bit Baugh Wooley multiplier din60 baugh wooley
Text: Via Santa Maria Maddalena 12, 38100 Trento, Italy tel. +39-0461-260 552 - fax + 39-0461-260 617 e-mail: info@neuricam.com; http: www.neuricam.com NC3003 TOTEM Digital Processor for Neural Networks DATA SHEET Rel. 12/99 General features The NC3003 is a digital VLSI parallel processor for fast learning and recognition with artificial neural
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NC3003
block diagram baugh-wooley multiplier
74682 comparator
4 bit barrel shifter notes in vlsi
baugh-wooley multiplier
74682
74682 logic
application diagram baugh-wooley multiplier
16 bit Baugh Wooley multiplier
din60
baugh wooley
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Ni1000
Abstract: MD-1220 NLX-420 N64000 NI1000 nestor ZISC036 8bit 103G MT19003 siemens ma ni-1000
Text: MODULE Research Center http://www.module.ru Updated: 27 November 1998 Digital Neural Networks in VLSI Table I.a. Name Architecture Precision Neurons Synapses Nuralogix NLX-420 Multi-layer 1-16b x 1-16b Hecht-Nielson 100 NAP GP1, SIMD processors 32b x 32b,
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NLX-420
1-16b
1-16b
N64000
128k-2M
ZISC036
MT19003
MD-1220
Ni1000
MD-1220
NLX-420
N64000
NI1000 nestor
ZISC036
8bit 103G
MT19003
siemens ma
ni-1000
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78M05 sti
Abstract: LM324 preamp circuit DIAGRAM Line Interactive ups with circuit diagram RSC-164 lm324 inverter This AGC application requires one LM324 audio preamp circuit RSC164 musical SCANNING KEYBOARD schematic microphone preamps scheme
Text: RSC-164/ RSC-164i Data Book GENERAL DESCRIPTION FEATURES The RSC-164 and RSC-164i are low-cost speech recognition ICs designed for use in consumer electronics. They combine an 8-bit processor with neural-net algorithms to provide high-quality speaker-independent speech recognition, speakerdependent speech recognition, and speaker
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RSC-164/
RSC-164i
RSC-164
RSC-164i
RSC-164
68-pin
64-pin
78M05 sti
LM324 preamp circuit DIAGRAM
Line Interactive ups with circuit diagram
lm324 inverter
This AGC application requires one LM324
audio preamp circuit
RSC164
musical SCANNING KEYBOARD schematic
microphone preamps scheme
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neural network
Abstract: Neuron DANA23 neural
Text: Neuro-Simulator The DANAsim programme is a simulation tool for neural networks developed at the GEMAC mbH and specifically adopted for the DANA23 neuro-ASIC. With DANAsim, feed-forward networks with up to four layers one input layer, one or two hidden layers, and one output layer can be processed. The
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neural network
Neuron
neural
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neural network
Abstract: application of feed back amplifier block diagram of 74LS138 3 to 8 decoder block diagram for neural network connection diagram of ic 74ls138 74LS138 decoder neural network chips
Text: > NEURAL NETWORK ANALOG CMOS CIRCUITS DENDROST“-1 FEED-FORWARD/FEED-BACK CONNECTION CIRCUIT ARRAY Features: • Performs the equivalent of 4.3 MFLOPS using analog computation • Designed for competitive-type, non-supervised, multi-layer networks • Incorporates sleep-refreshed memory retention mechanism
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NLX420
Abstract: NLX112 basic block diagram of bit slice processors NLX230 NLX113 NLX-420 FUZZY MICROCONTROLLER ADS-230 circuit diagram of speech recognition system neural
Text: In fo rm a tio n S heet NeuraLogix NLX420 Single-Chip Neural Network Neural Processor Slice It's your choice; choose the resolution you need - 1, 4, 8, or 16-bit, choose the transfer function - sigmoid, linear, step, pulse, or user designed, choose the architecture - feed
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NLX420
84pin
NLX420
32-bit
NLX112
basic block diagram of bit slice processors
NLX230
NLX113
NLX-420
FUZZY MICROCONTROLLER
ADS-230
circuit diagram of speech recognition system
neural
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nlx230
Abstract: ADS-230 FUZZY NLX420 NLX112 NLX-420
Text: Information Sheet NeuraLogix NLX230 Single-Chip Fuzzy Logic Fuzzy Microcontroller The Fuzzy M icrocontroller FMC , M odel NLX230, is a fully configurable VLSI Fuzzy Logic engine. It is one in a family of M icrocontroller devices offered by NeuraLogix. The FM C de
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NLX230
NLX420
nlx230
ADS-230
FUZZY
NLX112
NLX-420
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fuzzy temperature controller C code
Abstract: MCS-96 software design information MCS-96 development 8xC196 code for FUZZY MICROCONTROLLER
Text: Q2, 1993 Intel Microcontrollers Do Fuzzy Logic! Joe Altnether Senior Technical Marketing Engineer Intel Corporation Article #0401 Two complementary technologies are being enlisted not only to solve new classes of applications but also to re address existing applications. Neural networks and fuzzy
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80C186
fuzzy temperature controller C code
MCS-96 software design information
MCS-96 development
8xC196
code for FUZZY MICROCONTROLLER
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projects based on fuzzy logic
Abstract: MVME187 mini helicopter project mini projects based on fuzzy logic mvme167
Text: TECHNOLOGY D if f e r e n t a p p r o a c h e s a r e b e i n g t r i e d ; s o m e h a v e a l r e a d y b e e n c o m m e r c ia l iz e d Gap closing between fuzzy, neural nets gin with a fuzzy system that has been coarsely defined by experts. That fuzzy rule base is then refined with a
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000/MIPS
154/MIPS
MVME187
MVME167
32-bit
1392Motorola.
1757Dhrystones/s
n/780)
Diab236E
projects based on fuzzy logic
MVME187
mini helicopter project
mini projects based on fuzzy logic
mvme167
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matlab washing machine
Abstract: NeuFuz
Text: I SPE C IA L R E P O R T : BRINGING FUZZY LOGIC & NEURAL COMPUTING TOGETHER New tools make fuzzy/neural more than an academ ic amusement There's been a lot written in academic journals about combining fuzzy logic and neural networks. Some o f this activity is finally
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NLX230
Abstract: No abstract text available
Text: T » y NeuraLogix » — ~ Application Notes i nucoo i - - Questions And Answers For The NLX230 Fuzzy MicroContoller INTRODUCTION The following questions and answers were prepared in responce to numerous inquiries from customers regarding NeuraLogix's NLX230 Fuzzy Microcon
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NLX230
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neural network chips
Abstract: neural network RST13
Text: DENDROS -2 INPUT/CATEGORIZER NODE PAIR NEURAL NETWORK ANALOG CMOS CIRCUITS Features: • With DENDROS-1 provides complete circuitry needed for building Sleep-Refreshed Capacitive Memory SRCM networks • Incorporates sleep-refreshed memory retention mechanism
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inhibitory5-5596
RBTT21
F19UII
neural network chips
neural network
RST13
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