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找到约 5,352 项符合「Learning」的源代码

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www.eeworm.com/read/179061/9375560

m chap4_1.m

%Single Neural Adaptive PID Controller clear all; close all; x=[0,0,0]'; xiteP=0.40; xiteI=0.35; xiteD=0.40; %Initilizing kp,ki and kd wkp_1=0.10; wki_1=0.10; wkd_1=0.10; %wkp_1=rand;
www.eeworm.com/read/178344/9407076

m chap4_1.m

%Single Neural Adaptive PID Controller clear all; close all; x=[0,0,0]'; xiteP=0.40; xiteI=0.35; xiteD=0.40; %Initilizing kp,ki and kd wkp_1=0.10; wki_1=0.10; wkd_1=0.10; %wkp_1=rand;
www.eeworm.com/read/177674/9442393

m demolgd1.m

%DEMOLGD1 Demonstrate simple MLP optimisation with on-line gradient descent % % Description % The problem consists of one input variable X and one target variable % T with data generated by sampling X
www.eeworm.com/read/373627/9446140

html 00index.html

R: Functions for Classification
www.eeworm.com/read/176823/9483098

m demolgd1.m

%DEMOLGD1 Demonstrate simple MLP optimisation with on-line gradient descent % % Description % The problem consists of one input variable X and one target variable % T with data generated by sampling X
www.eeworm.com/read/371917/9531098

m chap4_1.m

%Single Neural Adaptive PID Controller clear all; close all; x=[0,0,0]'; xiteP=0.40; xiteI=0.35; xiteD=0.40; %Initilizing kp,ki and kd wkp_1=0.10; wki_1=0.10; wkd_1=0.10; %wkp_1=rand;
www.eeworm.com/read/371501/9551139

m instar.m

% %Question No 6 % Using the Instar learning law, group all the sixteen possible binary % vectors of length 4 into four different groups. Use suitable values for % the initial weights and for the l
www.eeworm.com/read/366093/9832881

m singleneuraladaptivepidcontroller.m

%Single Neural Adaptive PID Controller clear all; close all; x=[0,0,0]'; xiteP=0.40; xiteI=0.35; xiteD=0.40; %Initilizing kp,ki and kd wkp_1=0.10; wki_1=0.10; wkd_1=0.10; %wkp_1=rand; %wki
www.eeworm.com/read/167207/9976869

m lms.m

clear all; u=0.04; n=2000; a1=-0.2; a2=1; a3=[1 a1 a2]; b1=1; m1=randn(1,n); m1=m1/std(m1); m1=m1-mean(m1); a=0; b=sqrt(0.0965); m1=a+b*m1; [x zf]=filter(b1,a3,m1); w1(1)=0;w2(1)=
www.eeworm.com/read/362593/9989685

m chap4_1.m

%Single Neural Adaptive PID Controller clear all; close all; x=[0,0,0]'; xiteP=0.40; xiteI=0.35; xiteD=0.40; %Initilizing kp,ki and kd wkp_1=0.10; wki_1=0.10; wkd_1=0.10; %wkp_1=rand;