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/491123/6440917
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/490601/6449529
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/489292/6477979
java wtmlearningfunction.java
/**
* Copyright (c) 2006, Seweryn Habdank-Wojewodzki
* Copyright (c) 2006, Janusz Rybarski
*
* All rights reserved.
*
* Redistribution and use in source and binary forms,
* with or with
www.eeworm.com/read/489292/6477980
java wtalearningfunction.java
/**
* Copyright (c) 2006, Seweryn Habdank-Wojewodzki
* Copyright (c) 2006, Janusz Rybarski
*
* All rights reserved.
*
* Redistribution and use in source and binary forms,
* with or without mod
www.eeworm.com/read/486900/6519670
m m7_7.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/485544/6552649
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/485034/6571355
m singlpid.m
function singlpid()
%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=0.1
www.eeworm.com/read/484356/6586045
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