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找到约 5,352 项符合「Learning」的源代码

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热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/438595/7729524

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;
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www.eeworm.com/read/399329/7869153

asp news.asp

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www.eeworm.com/read/399186/7881844

m learnbm.m

function [dw,db] = learnbm(p,d,lr,mc,dw,db) %LEARNBPM Backpropagation learning rule with momentum. % % This function is obselete. % Use LEARNGDM to calculate new weights and biases. nntobsf
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www.eeworm.com/read/298871/7928903

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
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www.eeworm.com/read/198191/7947824

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
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www.eeworm.com/read/197582/7985380

plg mailsend.plg

Build Log --------------------Configuration: MailSend - Win32 Debug-------------------- Command Lines Creating command line "rc.exe /l 0x409 /f
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www.eeworm.com/read/398337/7993601

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/397102/8068324

m prex2mod.m

%PREX2 PRTOOLS example, plot learning curves of classifiers help prex2 pause(1) echo on % set desired learning sizes learnsize = [3 5 10 15 20 30]; % Generate Highleyman's classes A = gend
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www.eeworm.com/read/397102/8068603

m learnbpm.m

function [dw,db] = learnbpm(p,d,lr,mc,dw,db) %LEARNBPM Backpropagation learning rule with momentum. % % [dW,dB] = LEARNBPM(P,D,LR,MC,dW,dB) % P - RxQ matrix of input vectors. % D - SxQ matrix o
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www.eeworm.com/read/333652/12666951

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;
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