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/362008/10024047
txt preprocessing.txt
ADDC@Number of partitions:@4@S
AGHC@Number of partitions, Distance:@[4, 'min']@S
BIMSEC@Num of partitions, Nattempts:@[4, 1]@S
Competitive_learning@Number of partitions, eta:@[4, .01]@S
Determinis
www.eeworm.com/read/163199/10170962
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/163199/10170968
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/163165/10172604
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/163165/10172611
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/357874/10199215
txt preprocessing.txt
ADDC@Number of partitions:@4@S
AGHC@Number of partitions, Distance:@[4, 'min']@S
BIMSEC@Num of partitions, Nattempts:@[4, 1]@S
Competitive_learning@Number of partitions, eta:@[4, .01]@S
Determinis
www.eeworm.com/read/273090/10928013
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/273090/10928022
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/273065/10929426
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