代码搜索:Learning
找到约 5,352 项符合「Learning」的源代码
代码结果 5,352
www.eeworm.com/read/259886/11759530
m nnd14cl.m
function nnd14cl(cmd,arg1,arg2,arg3)
%NND14CL Competitive learning demonstration.
%
% This demonstration requires either the MININNET functions
% on the NND disk or the Neural Network Toolbox.
www.eeworm.com/read/152310/12122446
m nnd14cl.m
function nnd14cl(cmd,arg1,arg2,arg3)
%NND14CL Competitive learning demonstration.
%
% This demonstration requires either the MININNET functions
% on the NND disk or the Neural Network Toolbox.
www.eeworm.com/read/151851/12168529
m nnd14cl.m
function nnd14cl(cmd,arg1,arg2,arg3)
%NND14CL Competitive learning demonstration.
%
% This demonstration requires either the MININNET functions
% on the NND disk or the Neural Network Toolbox.
www.eeworm.com/read/336314/12451399
m nnd14cl.m
function nnd14cl(cmd,arg1,arg2,arg3)
%NND14CL Competitive learning demonstration.
%
% This demonstration requires either the MININNET functions
% on the NND disk or the Neural Network Toolbox.
www.eeworm.com/read/130698/14177474
m nnd14cl.m
function nnd14cl(cmd,arg1,arg2,arg3)
%NND14CL Competitive learning demonstration.
%
% This demonstration requires either the MININNET functions
% on the NND disk or the Neural Network Toolbox.
www.eeworm.com/read/123143/14645380
m genparam.m
function mf_param = genparam(data,mf_n,mf_type)
%GENPARAM Generate initial membership function parameters for ANFIS learning.
% GENPARAM(DATA,MF_N,MF_TYPE) generates initial input MF parameters
%
www.eeworm.com/read/122236/14712345
m nnd14cl.m
function nnd14cl(cmd,arg1,arg2,arg3)
%NND14CL Competitive learning demonstration.
%
% This demonstration requires either the MININNET functions
% on the NND disk or the Neural Network Toolbox.
www.eeworm.com/read/221802/14720139
c bridge.c
/* bridge.c - Simple learning bridge without STP uses NPT */
/* Copyright 2000-2003 Wind River Systems, Inc. */
#include "copyright_wrs.h"
/*
modification history
--------------------
01q,20jun03,my
www.eeworm.com/read/215983/15031161
m nnd14cl.m
function nnd14cl(cmd,arg1,arg2,arg3)
%NND14CL Competitive learning demonstration.
%
% This demonstration requires either the MININNET functions
% on the NND disk or the Neural Network Toolbox.
www.eeworm.com/read/385191/2594619
svn-base test_pc.m.svn-base
% test PC + Chi2 statistical test
clear all;
add_BNT_to_path;
test='pearson'; % Pearson's Chi2
%test='LRT'; % Likelihood ratio test G2
fprintf('\n=== Structure Learning with PC algorith