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/273065/10929440
m chap6_4s1.m
%Single Neural Net PID Decouple Controller based on Hebb Learning
%Algorithm to adjust kp,ki,kd
function [sys,x0,str,ts]=exp_pidf(t,x,u,flag)
switch flag,
case 0 % initializations
www.eeworm.com/read/417673/10980944
m eta.m
function new_eta = adjeta(eta, rmse)
% ADJETA Adjust learning rate eta in SD according to history of RMSE.
inc_rate = 1.01;
dec_rate = 0.99;
leng = length(rmse);
if leng < 5,
new_eta =
www.eeworm.com/read/416411/11030671
m chap6_4s2.m
%Single Neural Net PID Decouple Controller based on Hebb Learning
%Algorithm to adjust kp,ki,kd
function [sys,x0,str,ts]=exp_pidf(t,x,u,flag)
switch flag,
case 0 % initializations
www.eeworm.com/read/416411/11030680
m chap6_4s1.m
%Single Neural Net PID Decouple Controller based on Hebb Learning
%Algorithm to adjust kp,ki,kd
function [sys,x0,str,ts]=exp_pidf(t,x,u,flag)
switch flag,
case 0 % initializations
www.eeworm.com/read/469779/6927031
m chap6_4s2.m
%Single Neural Net PID Decouple Controller based on Hebb Learning
%Algorithm to adjust kp,ki,kd
function [sys,x0,str,ts]=exp_pidf(t,x,u,flag)
switch flag,
case 0 % initializations
www.eeworm.com/read/469779/6927035
m chap6_4s1.m
%Single Neural Net PID Decouple Controller based on Hebb Learning
%Algorithm to adjust kp,ki,kd
function [sys,x0,str,ts]=exp_pidf(t,x,u,flag)
switch flag,
case 0 % initializations
www.eeworm.com/read/175081/6959299
run
#!/bin/bash
alg=${1:-"fuzzy"}
cnt=${2:-10}
rm -f iris.res
if [ $alg == "fuzzy" ]; then
echo "fuzzy clustering" | tee -a iris.res
else
echo "competitive learning" | tee -a iris.res
fi
dom -s
www.eeworm.com/read/467198/7020146
m eta.m
function new_eta = adjeta(eta, rmse)
% ADJETA Adjust learning rate eta in SD according to history of RMSE.
inc_rate = 1.01;
dec_rate = 0.99;
leng = length(rmse);
if leng < 5,
new_eta =
www.eeworm.com/read/466142/7039612
m do_plsa.m
function do_plsa(config_file)
%% Function that runs the pLSA learning procedure, calling code written
%% by Josef Sivic (josef@robots.ox.ac.uk), based on the paper:
%%
%% J. Sivic, B. C. Russell, A
www.eeworm.com/read/449038/7519720
m chap6_4s2.m
%Single Neural Net PID Decouple Controller based on Hebb Learning
%Algorithm to adjust kp,ki,kd
function [sys,x0,str,ts]=exp_pidf(t,x,u,flag)
switch flag,
case 0 % initializations