代码搜索：Inference
找到约 1,820 项符合「Inference」的源代码
代码结果 1,820
www.eeworm.com/read/136697/13365402
m rtinf.m
function [rb,mtab] = rtinf(rt,e,de,andop,orop)
% [rb,mtab] = rtinf(rt,andop,orop)
%
% Inference of a two-dimensional fuzzy-controller given by a ruletable.
% rb = A vector containing the premise resu
www.eeworm.com/read/319921/13439529
txt 简单的锁存器.txt
-- Latch Inference
-- Download from: http://www.fpga.com.cn
Library IEEE ;
use IEEE.std_logic_1164.all ;
ENTITY latchinf IS
PORT
(
enable, data : IN BIT;
q : OUT BIT
);
END l
www.eeworm.com/read/312754/13605435
vhd 简单的锁存器.vhd
-- Latch Inference
-- Download from: http://www.fpga.com.cn
Library IEEE ;
use IEEE.std_logic_1164.all ;
ENTITY latchinf IS
PORT
(
enable, data : IN BIT;
q : OUT BIT
);
END l
www.eeworm.com/read/305986/13755606
vhd 简单的锁存器.vhd
-- Latch Inference
-- Download from: http://www.fpga.com.cn
Library IEEE ;
use IEEE.std_logic_1164.all ;
ENTITY latchinf IS
PORT
(
enable, data : IN BIT;
q : OUT BIT
);
END l
www.eeworm.com/read/140847/5779149
m discrete1.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
N = 9;
www.eeworm.com/read/140847/5779176
m chmm1.m
% Compare the speeds of various inference engines on a coupled HMM
N = 2;
Q = 2;
rand('state', 0);
randn('state', 0);
discrete = 1;
if discrete
Y = 2; % size of output alphabet
else
Y = 1;
end
co
www.eeworm.com/read/140847/5779243
m water2.m
% Compare the speeds of various inference engines on the water DBN
seed = 0;
rand('state', seed);
randn('state', seed);
bnet = mk_water_dbn;
T = 3;
engine = {};
engine{end+1} = smoother_e
www.eeworm.com/read/140847/5779473
m cond_gauss_inf_engine.m
function engine = cond_gauss_inf_engine(bnet)
% COND_GAUSS_INF_ENGINE Conditional Gaussian inference engine
% engine = cond_gauss_inf_engine(bnet)
%
% Enumerates all the discrete roots, and runs jtree
www.eeworm.com/read/140847/5779489
m belprop_fg_inf_engine.m
function engine = belprop_fg_inf_engine(fg, varargin)
% BELPROP_FG_INF_ENGINE Make a belief propagation inference engine for factor graphs
% engine = belprop_fg_inf_engine(factor_graph, ...)
%
% The
www.eeworm.com/read/140847/5779615
m hmm_inf_engine.m
function engine = hmm_inf_engine(bnet, varargin)
% HMM_INF_ENGINE Inference engine for DBNs which uses the forwards-backwards algorithm.
% engine = hmm_inf_engine(bnet, ...)
%
% The following optional