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    NEURAL NETWORK Search Results

    NEURAL NETWORK Result Highlights (5)

    Part ECAD Model Manufacturer Description Download Buy
    CS-SASDDP8282-000.5 Amphenol Cables on Demand Amphenol CS-SASDDP8282-000.5 29 position SAS to SATA Drive Connector Dual Data Lanes Cable 0.5m Datasheet
    MP-64RJ4528GB-003 Amphenol Cables on Demand Amphenol MP-64RJ4528GB-003 Slim Category-6 (Thin CAT6) UTP 28-AWG Network Patch Cable (550-MHz) with Snagless RJ45 Connectors - Blue 3ft Datasheet
    MP-64RJ4528GG-014 Amphenol Cables on Demand Amphenol MP-64RJ4528GG-014 Slim Category-6 (Thin CAT6) UTP 28-AWG Network Patch Cable (550-MHz) with Snagless RJ45 Connectors - Green 14ft Datasheet
    MP-64RJ4528GR-007 Amphenol Cables on Demand Amphenol MP-64RJ4528GR-007 Slim Category-6 (Thin CAT6) UTP 28-AWG Network Patch Cable (550-MHz) with Snagless RJ45 Connectors - Red 7ft Datasheet
    MP-64RJ4528GY-003 Amphenol Cables on Demand Amphenol MP-64RJ4528GY-003 Slim Category-6 (Thin CAT6) UTP 28-AWG Network Patch Cable (550-MHz) with Snagless RJ45 Connectors - Yellow 3ft Datasheet

    NEURAL NETWORK Datasheets Context Search

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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


    Original     		NM6403 NM6403 neural network Transistor hall w12 PDF

    TMS320C40

    Abstract: INSTRUCTION SET of TMS320C4X intel p55c P55C tms320c40 instruction set neural network chips L-Neuro 1.0
    Text: A VLSI Digital Neural Processor with Variable Word Length of Operands Submitted to: "Priborostroenie". Hard-Software systems for neural calculation support, Thematic issue 7/96 Authors: Pavel Vixne, Dmitri Fomin, Vladimir Chernikov Research Center "Module", Moscow, Russia


    Original     		TMS320C4x TMS320C40 INSTRUCTION SET of TMS320C4X intel p55c P55C tms320c40 instruction set neural network chips L-Neuro 1.0 PDF

    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


    Original     		NC3002 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 PDF

    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


    Original     		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 PDF

    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.


    Original     		RS-232/485 MC420 NM6403 MC427 Z85C3 MC426 PCI9054 MC421 mux 232 PLX PCI9054 7110A 9698 grabber MC420 MC421 MC426 MC427 PDF

    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


    Original     		NC3001 hex to bin ttl pcb layout for fingerprint recognition DIN11 NeuriCam PDF

    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


    Original     		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" PDF

    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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    Untitled

    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


    Original     		256-bytes cascad75 100-pin PDF

    Miller Switched reluctance motors

    Abstract: electrical bell working principle TMS32067x switched reluctance motor parameter simulation switched reluctance motor linear ccs compiler tutorial SPRU190c SPRU248A TMS320C240 speed control torque control
    Text: Implementation of Neural Networks to Aid Switched Reluctance Motor Control On the TMS320C6701 Shyam S. Ramamurthy Juan Carlos Balda Department of Electrical Engineering University of Arkansas 3217 Bell Engineering Center Fayetteville, AR 72701 501-575-6578, jcb@engr.uark.edu


    Original     		TMS320C6701 TMS320C6701 C6701 SPRU198C: TMS32062x/TMS32067x SPRU301C: TMS320C6000 SPRU190C: SPRU248A: Miller Switched reluctance motors electrical bell working principle TMS32067x switched reluctance motor parameter simulation switched reluctance motor linear ccs compiler tutorial SPRU190c SPRU248A TMS320C240 speed control torque control PDF

    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,


    Original     		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 PDF

    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


    Original     		NM6403 NM6403, 64-bit est90, 320C4x NI1000 nestor ZISC036 NLX-420 MD-1220 nestor neural network 250M siemens ma N64000 PDF

    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


    Original     		DANA23 neural network Neuron neural PDF

    Line Interactive ups with circuit diagram

    Abstract: STC 8627 RSC-264T audio preamp circuit 32.768 khz crystal 14.318MHz crystal schematic diagram welding inverter control AT27LV512A Speech Recognition IC d5 t2r cmc03
    Text: RSC-264T Data Book FEATURES GENERAL DESCRIPTION The RSC-264T is a low-cost speech recognition IC designed for use in toys. The RSC-264T combines an 8-bit processor with neural-net algorithms to provide high-quality speaker-independent speech recognition, speaker-dependent speech recognition,


    Original     		RSC-264T RSC-264T 100x100 100um 100um C264XD1B C264XS1P Line Interactive ups with circuit diagram STC 8627 audio preamp circuit 32.768 khz crystal 14.318MHz crystal schematic diagram welding inverter control AT27LV512A Speech Recognition IC d5 t2r cmc03 PDF

    3 phase 7.5 hp induction motor winding diagram

    Abstract: ac induction motor stator winding data induction heat circuit artificial neural network circuit diagram induction heating control circuit diagram 3 phase 7.5 hp induction motor winding induction heating circuits ac 3 phase induction motor stator winding data big abstract for robotics project ELGAR
    Text: Disclaimer: This document was part of the First European DSP Education and Research Conference. It may have been written by someone whose native language is not English. TI assumes no liability for the quality of writing and/or the accuracy of the information contained herein.


    Original     		TMS320C30 SPRA333 Nature323: 3 phase 7.5 hp induction motor winding diagram ac induction motor stator winding data induction heat circuit artificial neural network circuit diagram induction heating control circuit diagram 3 phase 7.5 hp induction motor winding induction heating circuits ac 3 phase induction motor stator winding data big abstract for robotics project ELGAR PDF

    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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    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


    OCR Scan     		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 PDF

    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


    OCR Scan     		inhibitory5-5596 RBTT21 F19UII neural network chips neural network RST13 PDF

    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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    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


    OCR Scan     		80C186 fuzzy temperature controller C code MCS-96 software design information MCS-96 development 8xC196 code for FUZZY MICROCONTROLLER PDF

    Z28f

    Abstract: g1029 neural network chips SU3232 G1002 g1011 G1028 CSI 24C G1009 NU32
    Text: DEC g 199^ »•■■■■■■Il iiiiBaHiiiii ■■■■■■■■■Il SU 3232 NEURAL "= SEMICONDUCTOR N eural Synaptic Unit PRELIMINARY NU32 N eural N odal Unit Description: The SU3232 Synaptic Unit and NU32 N odal U nit are high perform ance, fully digital, fully


    OCR Scan     		SU3232 32-By-32 SU3232 Z28f g1029 neural network chips G1002 g1011 G1028 CSI 24C G1009 NU32 PDF

    X31C

    Abstract: G1027 g1028 I28E i31c Z30C x27c Neural Semiconductor CSI 24C neural network
    Text: NOV o 2 1390 IIIR H M S II1 •■ ■■■■■■■■111 II IS B H f tlll S U 3232 NEURAL sem iconductor N e u ra l S ynaptic U n it PRELIMINARY NU32 N e u ra l N o d a l U n it Features and Benefits: • Directly Implemented Fully Parallel <DIFP™ Architecture for High


    OCR Scan     		SU3232 32-By-32 SU3232 w39oSo3SooS? 0207E37 X31C G1027 g1028 I28E i31c Z30C x27c Neural Semiconductor CSI 24C neural network PDF

    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


    OCR Scan     		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 PDF

    neural network

    Abstract: No abstract text available
    Text: C o l u m n is t CONTRIBUTING EDITOR Fig u r e 1 IN PU T B T R A P E Z O ID / / T R A P E Z O ID LO W ER / upper S U P P O R T T R A P E Z O ID C O R E T R A P E Z O ID LO W ER UPPER CORE SUPPO RT .T RIA NG LE CENTER T R IA N G L E LO W ER SU PPO RT O U TP U T


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