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/330850/12865231

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/143498/12870683

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/320130/13432564

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/320130/13432568

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/317622/13500976

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/315013/13553894

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/315013/13553898

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/385178/6285170

m sem_learn3.m

% learn the structure of "alarm" network. The learning time is so long! rand('state', 0); randn('state', 0); bnet = mk_alarm_bnet; dag = bnet.dag; N = length(dag); ns = bnet.node_sizes; n
www.eeworm.com/read/492363/6421769

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/492363/6421773

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