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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/137160/13341786

m ffnc.m

%FFNC Feed-forward neural net classifier back-end % % [W,HIST] = FFNC (ALG,A,UNITS,ITER,W_INI,T,FID) % % INPUT % ALG Training algorithm: 'bpxnc' for back-propagation (default), 'lmnc' %
www.eeworm.com/read/136959/13352231

me read.me

Before you start, read SNIPPETS.TXT for instructions and information. If you are a student just learning C or C++, you should also read the STUDENTS.NFO file.
www.eeworm.com/read/320130/13432645

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/318103/13488618

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/315013/13553975

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/314653/13562199

m ffnc.m

%FFNC Feed-forward neural net classifier back-end % % [W,HIST] = FFNC (ALG,A,UNITS,ITER,W_INI,T,FID) % % INPUT % ALG Training algorithm: 'bpxnc' for back-propagation (default), 'lmnc' %
www.eeworm.com/read/312668/13606510

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/309649/13667198

me read.me

+++Date last modified: 05-Jul-1997 Before you start, read SNIPPETS.TXT for instructions and information. If you are a student just learning C or C++, you should also read the STUDENTS.NFO file.
www.eeworm.com/read/307082/13731541

html 87.html

window.location.href='http://learning.sohu.com/s2006/2006gkshiti/#quanguo2';
www.eeworm.com/read/306882/13736641

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;