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/189377/8472963
txt c17-communication50.txt
发信人: lwp (飞机的lamp), 信区: <mark>Network</mark>
标 题: 国际级网络业者挥军美国市场
发信站: 日月光华站 (Mon Nov 15 11:46:18 1999) , 转信
美国的网络市场发展的如火如荼，许多国际业者既有财力，也有技术，都想来分一
杯羹，英国的Marconi集团今天发表了进军北美通讯器材市场的计划。
Marconi的前 ...
www.eeworm.com/read/389844/8496303
m addnode.m
%~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%
% addNode(network) - add regressor.
%
% Parameters: net - neural network with matrix networks
%
www.eeworm.com/read/290144/8502206
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
www.eeworm.com/read/289743/8529923
m backprop_gradient.m
function [C, dC] = backprop_gradient(v, network, X, targets)
%BACKPROP Compute the cost gradient for CG optimization of a neural network
%
% [C, dC] = backprop_gradient(v, network, X, targets)
%
% C
www.eeworm.com/read/289680/8535008
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/289680/8535152
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/289680/8535159
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/389274/8536933
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/389274/8536966
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);