代码搜索：Inference
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www.eeworm.com/read/149607/12362940
vhd latchinf.vhd
-- MAX+plus II VHDL Example
-- Latch Inference
-- Copyright (c) 1994 Altera Corporation
Library IEEE ;
use IEEE.std_logic_1164.all ;
ENTITY latchinf IS
PORT
(
enable, data : IN BIT;
www.eeworm.com/read/125699/14470263
vhd latchinf.vhd
-- MAX+plus II VHDL Example
-- Latch Inference
-- Copyright (c) 1994 Altera Corporation
Library IEEE ;
use IEEE.std_logic_1164.all ;
ENTITY latchinf IS
PORT
(
enable, data : IN BIT;
www.eeworm.com/read/123143/14645424
m rmvar.m
function [out,errorStr]=rmvar(fis,varType,varIndex, infoflag)
%RMVAR Remove variable from FIS.
% fis2 = RMVAR(fis,varType,varIndex) removes the specified
% variable from the fuzzy inference sy
www.eeworm.com/read/123143/14645425
m discfis.m
function [XI,YI,XO,YO,R] = discfis(fis,numPts)
%DISCFIS Discretize a fuzzy inference system.
% [XI,YI,XO,YO,R] = DISCFIS(fis,numPts) discretizes all the membership
% functions for the input and
www.eeworm.com/read/251838/4414448
m discrete2.m
% Compare various inference engines on the following network (from Jensen (1996) p84 fig 4.17)
% 1
% / | \
% 2 3 4
% | | |
% 5 6 7
% \/ \/
% 8 9
% where all arcs point downwards
www.eeworm.com/read/251838/4414504
m discrete3.m
% Compare various inference engines on the following network (from Jensen (1996) p84 fig 4.17)
% 1
% / | \
% 2 3 4
% | | |
% 5 6 7
% \/ \/
% 8 9
% where all arcs point downwards
www.eeworm.com/read/251838/4415094
m quickscore_inf_engine.m
function engine = quickscore_inf_engine(inhibit, leak, prior)
% QUICKSCORE_INF_ENGINE Exact inference for the QMR network
% engine = quickscore_inf_engine(inhibit, leak, prior)
%
% We create an infere
www.eeworm.com/read/251838/4415117
m enumerative_inf_engine.m
function engine = enumerative_inf_engine(bnet)
% ENUMERATIVE_INF_ENGINE Inference engine for fully discrete BNs that uses exhaustive enumeration.
% engine = enumerative_inf_engine(bnet)
assert(isemp
www.eeworm.com/read/251522/4418839
m discrete2.m
% Compare various inference engines on the following network (from Jensen (1996) p84 fig 4.17)
% 1
% / | \
% 2 3 4
% | | |
% 5 6 7
% \/ \/
% 8 9
% where all arcs point downwards
www.eeworm.com/read/251522/4419053
m quickscore_inf_engine.m
function engine = quickscore_inf_engine(inhibit, leak, prior)
% QUICKSCORE_INF_ENGINE Exact inference for the QMR network
% engine = quickscore_inf_engine(inhibit, leak, prior)
%
% We create an infere