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找到约 5,352 项符合「Learning」的源代码
代码结果 5,352
www.eeworm.com/read/458392/7297197
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/454366/7393120
h neuralnetworktrainer.h
/*******************************************************************
* Neural Network Training Class
* ------------------------------------------------------------------
* Bobby Anguelov - takingin
www.eeworm.com/read/451700/7457912
cfg memocard.cfg
[GUI]
cardwindowy = 15
[Learning]
defaultdb = Chinese.jml
flipsides = false
slidetimeout = 10
slideinterval = 40
www.eeworm.com/read/450608/7480071
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/449038/7519801
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/445341/7596441
map m16_pwm.map
Archive member included because of file (symbol)
d:/learning/mcu/winavr-20080610/bin/../lib/gcc/avr/4.3.0/avr5\libgcc.a(_udivmodqi4.o)
M16_PWM.o (__udivmodqi4)
d:/le
www.eeworm.com/read/445341/7596449
aps m16_pwm_elf.aps
M16_PWM_elf29-Jan-2009 21:34:4729-Jan-2009 21:36:12Object.bmp1
www.eeworm.com/read/445332/7596542
map m16_usart.map
Archive member included because of file (symbol)
d:/learning/mcu/winavr-20080610/bin/../lib/gcc/avr/4.3.0/avr5\libgcc.a(_udivmodsi4.o)
M16_USART.o (__udivmodsi4)
d:/
www.eeworm.com/read/445332/7596564
map m16_usart.map
Archive member included because of file (symbol)
d:/learning/mcu/winavr-20080610/bin/../lib/gcc/avr/4.3.0/avr5\libgcc.a(_udivmodsi4.o)
M16_USART.o (__udivmodsi4)
d:/
www.eeworm.com/read/445174/7598251
m artmap.m
function artmap(rhobar,L,noise)
epsilon=0.0001;
no=100;
n=200;
np=18;
Mb=3;
M=1;
Io=initI;
Ic=1-Io;
I=[Io;Ic];
b=initb;
z=ones(n,1);
w=ones(Mb,1);
zold=z;
wold=w;
learning=1;
iterations=0;
while lear