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/120147/6303480
m nnfexist.m
function ok = nnfexist(d)
%NNFEXIST Neural Network Design utility function.
% First Version, 8-31-95.
%==================================================================
ok = exist('hardlim'
www.eeworm.com/read/120147/6303507
m nntexist.m
function e = nntexist(d)
% NNTEXIST Neural Network Design utility function.
% First Version, 8-31-95.
%==================================================================
%e = exist('learnp')
www.eeworm.com/read/120147/6303524
m nnpause.m
function nnpause(delay)
%NNPAUSE A Neural Network Design utility function.
% First Version, 8-31-95.
%==================================================================
drawnow
start = cloc
www.eeworm.com/read/421428/6307867
m examplere.m
%nn1R, Recognition of BP network
%===============
%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
Recog
www.eeworm.com/read/347494/6310331
js liveframework.js
/* Copyright (C) 2007 Microsoft Corporation */
var RuntimeVersion="7.070314.0";Function.abstractMethod=function(){throw new Error('Abstract method should be implemented');}
Function.createCallback=f
www.eeworm.com/read/345862/6338089
h netif.h
/*
* Copyright (c) 2001-2003 Swedish Institute of Computer Science.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permi
www.eeworm.com/read/238215/6343876
h classlist.h
CLASS(0000, "Non-VGA unclassified device")
CLASS(0001, "VGA compatible unclassified device")
CLASS(0100, "SCSI storage controller")
CLASS(0101, "IDE interface")
CLASS(0102, "Floppy disk controller")
C
www.eeworm.com/read/493294/6399864
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/493294/6399970
m bpxnc.m
%BPXNC Back-propagation trained feed-forward neural net classifier
%
% [W,HIST] = BPXNC (A,UNITS,ITER,W_INI,T,FID)
%
% INPUT
% A Dataset
% UNITS Array indicating number of units in each h
www.eeworm.com/read/493294/6400522
m mytrainlm.m
function [net,tr,v3,v4,v5,v6,v7,v8] = ...
trainlm(net,Pd,Tl,Ai,Q,TS,VV,TV,v9,v10,v11,v12)
%TRAINLM Levenberg-Marquardt backpropagation.
%
% Syntax
%
% [net,tr] = trainlm(net,Pd,Tl,Ai,Q,TS,VV)
%