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/406594/11439376
m nnpause.m
function nnpause(delay)
%NNPAUSE A Neural Network Design utility function.
% First Version, 8-31-95.
%==================================================================
drawnow
start = cloc
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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
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m nndrwcir.m
function nndrwcir(x,y,r,c)
%NNDRWCIR Neural Network Design utility function.
%
% NNDRWCIR(X,Y,R,C)
% X - Horizontal coordinate.
% Y - Vertical coordinate.
% R - Radius.
% C - Color.
%
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m nnfexist.m
function ok = nnfexist(d)
%NNFEXIST Neural Network Design utility function.
% First Version, 8-31-95.
%==================================================================
ok = exist('hardlim'
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m contents.m
% MININNET
% Functions for Neural Network Design demonstrations.
% (Do not use if Neural Network Toolbox is available.)
%
% Transfer functions
% compet - Competitive transfer function.
% h
www.eeworm.com/read/405321/11466169
h edpaddr.h
/*! \file edpaddr.h \brief Emerald Satellite EDP/I2C Bus Addresses. */
//*****************************************************************************
//
// File Name : 'edpaddr.h'
// Title : Eme
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m sigactfun.m
function H = SigActFun(P,IW,Bias);
%%%%%%%% Feedforward neural network using sigmoidal activation function
V=P*IW'; ind=ones(1,size(P,1));
BiasMatrix=Bias(ind,:);
V=V+BiasMatrix;
H = 1./(
www.eeworm.com/read/404800/11478649
m hardlimactfun.m
function H = HardlimActFun(P,IW,Bias);
%%%%%%%% Feedforward neural network using hardlim activation function
V=P*IW'; ind=ones(1,size(P,1));
BiasMatrix=Bias(ind,:);
V=V+BiasMatrix;
H = ha
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m sinactfun.m
function H = SinActFun(P,IW,Bias);
%%%%%%%% Feedforward neural network using sine activation function
V=P*IW'; ind=ones(1,size(P,1));
BiasMatrix=Bias(ind,:);
V=V+BiasMatrix;
H = sin(V);