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