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找到约 1,820 项符合「Inference」的源代码

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www.eeworm.com/read/274663/10860309

log __projnav.log

Project Navigator Auto-Make Log File ------------------------------------- Started process "Synthesize". ========================================================================= *
www.eeworm.com/read/461789/7219853

syr led.syr

Release 7.1.04i - xst H.42 Copyright (c) 1995-2005 Xilinx, Inc. All rights reserved. --> Parameter TMPDIR set to __projnav CPU : 0.00 / 1.61 s | Elapsed : 0.00 / 1.00 s --> Parameter xsthdpdir set
www.eeworm.com/read/454131/7397644

h userstr.h

//+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ // Bayesian Inference / Massive Inference // // Filename: userstr.h // // Purpose: Define user stru
www.eeworm.com/read/448006/7541943

syr bcd_7seg.syr

Release 6.3i - xst G.35 Copyright (c) 1995-2004 Xilinx, Inc. All rights reserved. --> Parameter TMPDIR set to __projnav CPU : 0.00 / 0.81 s | Elapsed : 0.00 / 1.00 s --> Parameter xsthdpdir set to
www.eeworm.com/read/399935/7821083

v latchinf.v

// MAX+plus II Verilog Example // Latch Inference // Copyright (c) 1997 Altera Corporation module latchinf(enable, data, q); input enable, data; output q; reg q; always @(
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html qbinference.html

www.eeworm.com/read/333191/12699784

m fuzzyts.m

%Takagi-Sugeno Fuzzy Inference System (no delay)(add y(k-1)) clear; load average22.txt;%yhl826.txt; a=average22;%yhl826; a1=(a(:,5)+a(:,6)+a(:,7))/3; a2=(a(:,8)+a(:,9)+a(:,10))/3; a3=(a(:,11)+a
www.eeworm.com/read/243541/12935056

v latchinf.v

// MAX+plus II Verilog Example // Latch Inference // Copyright (c) 1997 Altera Corporation module latchinf(enable, data, q); input enable, data; output q; reg q; always @(
www.eeworm.com/read/136696/13365578

m intonfis.m

function intonfis echo on;clf;clc; % FISMAT: Fuzzy Inference Systems toolbox for MATLAB % (c) Ahmad Lotfi, % Department of Electrical and Computer Engineering % University of Queensland % Brisb
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m cri.m

function [dBp] = cri(R,dAp) %CRI: Compositional Rule of Inference, based on fuzzy relation matrix % R and observation vector Ap, using Zadeh's inference CRI the % decision vector Bp is o