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/306702/13739967
m xt.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/304061/13802331
m chapter10_3.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/303073/13822307
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/299625/6285257
m rncalc.m
function [c,d]=rncalc(xapp,yapp,kernel,kerneloption,lambda,T)
% USAGE
%
% [c,d]=rncalc(xapp,app,kernel,kerneloption,lambda,T);
%
%
% y= K*c+ T*d
% calculates the minimizer of
www.eeworm.com/read/120147/6303439
m contents.m
% Neural Network Design Demonstrations.
% Copyright (c) 1994 by PWS Publishing Company.
%
% General
% nnd - Splash screen.
% nndtoc - Table of contents.
% nnsound - Turn Neural Net
www.eeworm.com/read/170695/6344064
net sincos.net
[TRAINING] PATTERN %training method
[MINWEIGHTS] -10 %minimum weight value
[MAXWEIGHTS] 10 %maximum weight value
[PERTURBATION] 20 %maximum weight perturbation
[SATURATION] 80 %saturation thre
www.eeworm.com/read/170695/6344077
net xor.net
[TRAINING] QUICKPROP %training method
[MINWEIGHTS] -10 %minimum weight value
[MAXWEIGHTS] 10 %maximum weight value
[PERTURBATION] 5 %maximum weight perturbation
[SATURATION] 80 %saturation thr
www.eeworm.com/read/170695/6344079
net security.net
[TRAINING] PATTERN %training method
[MINWEIGHTS] -10 %minimum weight value
[MAXWEIGHTS] 10 %maximum weight value
[PERTURBATION] 20 %maximum weight perturbation
[SATURATION] 80 %saturation thre
www.eeworm.com/read/493294/6399864
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/492363/6421850
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;