代码搜索：NetWork
找到约 10,000 项符合「NetWork」的源代码
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www.eeworm.com/read/389274/8537023
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/389274/8537117
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/389274/8537210
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
www.eeworm.com/read/188280/8552154
m train.m
function net = train(net, tutor, varargin)
% TRAIN
%
% Train a max-win multi-class support vector classifier network using the
% specified tutor to train each component two-class network.
%
www.eeworm.com/read/188280/8552292
m train.m
function net = train(net, tutor, varargin)
% TRAIN
%
% Train a max-win multi-class support vector classifier network using the
% specified tutor to train each component two-class network.
%
www.eeworm.com/read/188280/8552307
m train.m
function net = train(net, tutor, varargin)
% TRAIN
%
% Train a dag-svm multi-class support vector classifier network using the
% specified tutor to train each component two-class network.
%
www.eeworm.com/read/432820/8570164
kconfig
#
# Acorn Network device configuration
# These are for Acorn's Expansion card network interfaces
#
config ARM_AM79C961A
bool "ARM EBSA110 AM79C961A support"
depends on NET_ETHERNET && ARM && ARCH_E
www.eeworm.com/read/187848/8596218
m demopsonet.m
% demoPSOnet.m
% script to show a quick, uncomplicated demo of using trainpso for training
% a neural net
%
% tries to build a feedforward neural net to approximate a noisy increaing
% sin funct
www.eeworm.com/read/388426/8609975
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