代码搜索：NetWork
找到约 10,000 项符合「NetWork」的源代码
代码结果 10,000
www.eeworm.com/read/334675/12580952
m hardlims.m
function a = hardlims(n,b)
%HARDLIMS Symmetric hard limit transfer function.
%
% Syntax
%
% A = hardlims(N)
% info = hardlims(code)
%
% Description
%
% HARDLIMS is a transfer functio
www.eeworm.com/read/334675/12580962
m hardlim.m
function a = hardlim(n,b)
%HARDLIM Hard limit transfer function.
%
% Syntax
%
% A = hardlim(N)
% info = hardlim(code)
%
% Description
%
% HARDLIM is a transfer function. Transfer fu
www.eeworm.com/read/334675/12581000
m dist.m
function z = dist(w,p)
%DIST Euclidean distance weight function.
%
% Syntax
%
% Z = dist(W,P)
% df = dist('deriv')
% D = dist(pos)
%
% Description
%
% DIST is the Euclidean distance
www.eeworm.com/read/146841/12607935
java neuquant.java
// Constructors:
// public NeuQuant (Image im, ImageObserver obs) throws IOException -- default sample = 1
// public NeuQuant (int sample, Image im, ImageObserver obs) throws IOException
// p
www.eeworm.com/read/146452/12647472
pas sendmsgunit.pas
unit SendMsgUnit;
interface
uses Windows, SysUtils, Classes, ComCtrls, Dialogs;
{
ERROR_ACCESS_DENIED The user does not have access to the requested information.
ERROR_INVALID_PAR
www.eeworm.com/read/135779/13900008
m example33_test.m
%test the bp network
%==============
%==============
input=str2num(input);
output=purelin(W2*tansig(W1*input,B1),B2);
out=purelin(W2*tansig(W1*P,B1),B2);
figure('color',[0.8 0.8 0.8],'positi
www.eeworm.com/read/135779/13900025
m example32_test.m
%test the rbf network
%==============
%==============
clc;
input=[0 0 1 1;0 1 0 1]
A=simurb(input,W1,B1,W2,B2);
output=round(A)
% set(output,'string',A);
www.eeworm.com/read/135779/13900060
m example34_test.m
%test the rbf network
%==============
%==============
input=str2num(input);
output=simurb(input,W1,B1,W2,B2);
out=simurb(P,W1,B1,W2,B2);
figure('color',[0.8 0.8 0.8],'position',[120 120 600
www.eeworm.com/read/135779/13900105
m example52_figure.m
%hf2_figure
%==============
%==============
%to see the input/output
figure('name','欲记忆矢量','numbertitle','off');
clc
T=[+1 -1;
-1 +1];
plot(T(1,:),T(2,:),'r*')
axis([-2 2 -2 2])
alabel('a
www.eeworm.com/read/135779/13900159
m example35re.m
%nn1R, Recognition of BP network
%===============
%例3.5 训练好的BP网络识别加了噪声的测试样本
%===============
clc;
[length,width]=size(b1);
b=double(b1);
q=reshape(b,length*width,1); %改32*32的矩阵为1024*1的矩阵