代码搜索：Inference
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m jtree_dbn_inf_engine2.m
function engine = jtree_dbn_inf_engine(bnet, varargin)
% JTREE_DBN_INF_ENGINE Junction tree inference algorithm for DBNs.
ss = length(bnet.intra);
onodes = [];
if nargin >= 2
args = varargin;
n
www.eeworm.com/read/338523/12295467
c invp_flc.c
/*
* File : invp_flc.c
*
* An example of Fuzzy Inference System,
* uk = fuzzy_controller(ek, dek)
*
* Revised by Chou, Penchen, Aug. 3,2001
* EE Dept., Da-Yeh University.
www.eeworm.com/read/126327/14428473
v counters.v
// MAX+plus II Verilog Example
// Efficient Counter Inference
// Copyright (c) 1997 Altera Corporation
module counters (d, clk, clear, ld, enable, up_down,
qa, qb, qc, qd, qe, qf, q
www.eeworm.com/read/123143/14645436
c fis.c
/* $Revision: 1.19 $ */
/*
* Stand-alone C codes for fuzzy inference systems.
* (This file is included in fismain.c)
* J.-S. Roger Jang, 1994.
* Copyright (c) 1994-98 by The MathWorks, Inc.
www.eeworm.com/read/123143/14645509
c fis.c
/*
* Stand-alone C codes for fuzzy inference systems.
* (This file is included in fismain.c)
* J.-S. Roger Jang, 1994.
* Copyright (c) 1995 by The MathWorks, Inc.
*/
#ifndef __FIS__
#def
www.eeworm.com/read/251838/4414557
m water1.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_engine(jtree
www.eeworm.com/read/251838/4414563
m bat1.m
% Compare the speeds of various inference engines on the BAT DBN
[bnet, names] = mk_bat_dbn;
T = 3; % fixed length sequence - we make it short just for speed
USEC = exist('@jtree_C_inf_engine/collec
www.eeworm.com/read/251838/4414580
m orig_water1.m
% Compare the speeds of various inference engines on the water DBN
seed = 0;
rand('state', seed);
randn('state', seed);
%bnet = mk_water_dbn;
bnet = mk_orig_water_dbn;
T = 3;
engine = {};
%engine{en
www.eeworm.com/read/251838/4414584
m cmp_learning_dbn.m
function [time, CPD, LL, cases] = cmp_learning_dbn(bnet, engine, T, varargin)
% CMP_LEARNING_DBN Compare a bunch of inference engines by learning a DBN
% function [time, CPD, LL, cases] = cmp_learning
www.eeworm.com/read/251838/4414994
m jtree_2tbn_inf_engine.m
function engine = jtree_2TBN_inf_engine(bnet, varargin)
% JTREE_ONLINE_INF_ENGINE Online Junction tree inference algorithm for DBNs.
% engine = jtree_online_inf_engine(bnet, ...)
%
% The following opt