代码搜索：Learning

找到约 5,352 项符合「Learning」的源代码

代码结果 5,352
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www.eeworm.com/read/130383/14196241

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
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www.eeworm.com/read/129354/14249774

tmi fft2.tmi

[PROJECT] ProjectName=fft2 WorkingDirectory=E:\课程\learning\本学期课程\单片机\实验报告\实验一\fft2 OutputDirectory=. ProjectFile=E:\课程\learning\本学期课程\单片机\实验报告\实验一\fft2\fft2.tmk ProjectInfoFile=E:\课程\learning\本学期
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www.eeworm.com/read/129354/14249802

tmi fft.tmi

[PROJECT] ProjectName=fft WorkingDirectory=E:\课程\learning\本学期课程\单片机\实验报告\实验一\fft OutputDirectory=. ProjectFile=E:\课程\learning\本学期课程\单片机\实验报告\实验一\fft\fft.tmk ProjectInfoFile=E:\课程\learning\本学期课程\单
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www.eeworm.com/read/129354/14249829

tmi ad5.tmi

[PROJECT] ProjectName=ad5 WorkingDirectory=E:\课程\learning\本学期课程\单片机\实验报告\实验一\ad5 OutputDirectory=. ProjectFile=E:\课程\learning\本学期课程\单片机\实验报告\实验一\ad5\ad5.tmk ProjectInfoFile=E:\课程\learning\本学期课程\单
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www.eeworm.com/read/129354/14249901

tmi ad10.tmi

[PROJECT] ProjectName=ad10 WorkingDirectory=E:\课程\learning\本学期课程\单片机\实验报告\实验一\ad10 OutputDirectory=. ProjectFile=E:\课程\learning\本学期课程\单片机\实验报告\实验一\ad10\ad10.tmk ProjectInfoFile=E:\课程\learning\本学期
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www.eeworm.com/read/231036/14260043

m 4_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;
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www.eeworm.com/read/128468/14295421

m contents.m

% Statistical learning methods. % % Included directories (implementing algorithms): % minimax - (dir) Minimax learning algorithm. % unsuper - (dir) Unsupervised learning methods, EM algori
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www.eeworm.com/read/230098/14306154

txt mainparameters.txt

struct MainParameters Data structure for parameters of the learning runs with an RL system. Appropriate values can be assigned to its data members either directly or by running process(int argc, cha
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www.eeworm.com/read/230098/14306163

txt mainparameters.txt

struct MainParameters Data structure for parameters of the learning runs with an RL system. Appropriate values can be assigned to its data members either directly or by running process(int argc, cha
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www.eeworm.com/read/127069/14380384

hpp bpnet.hpp

//Header: BPNet.hpp //Language: Borland C++ 3.1 //Version: 1.0 //Environ: Any //Author: Liu Kang //Date: 3/1996 //Purpose: Provide a class for BP neural network #ifndef __BPNET__HPP #defin
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