代码搜索：corresponding
找到约 4,250 项符合「corresponding」的源代码
代码结果 4,250
www.eeworm.com/read/197825/7968770
java tablepanel.java
/* TablePanel.java */
import java.awt.*;
import java.applet.*;
import java.io.*;
import java.util.*;
/**
* This class creates a panel with a table canvas and a vertical scrollbar
* to the east of
www.eeworm.com/read/196830/8055845
m cplxcomp.m
function I = cplxcomp(p1,p2)
% I = cplxcomp(p1,p2)
% Compares two complex pairs which contain the same scalar elements
% but (possibly) at differrent indices. This routine should be
% used aft
www.eeworm.com/read/196637/8070296
java tablepanel.java
/* TablePanel.java */
import java.awt.*;
import java.applet.*;
import java.io.*;
import java.util.*;
/**
* This class creates a panel with a table canvas and a vertical scrollbar
* to the east of
www.eeworm.com/read/196069/8116675
m cplxcomp.m
function I = cplxcomp(p1,p2)
% I = cplxcomp(p1,p2)
% Compares two complex pairs which contain the same scalar elements
% but (possibly) at differrent indices. This routine should be
% used aft
www.eeworm.com/read/331812/12806509
java tablepanel.java
/* TablePanel.java */
import java.awt.*;
import java.applet.*;
import java.io.*;
import java.util.*;
/**
* This class creates a panel with a table canvas and a vertical scrollbar
* to the east of
www.eeworm.com/read/331567/12820366
readme
This is a stripped version of "experimental implementation of complex variables
in gcc (the GNU C language compiler) corresponding to the proposed C9X new C
language specification" available from
htt
www.eeworm.com/read/143769/12845567
java tablepanel.java
/* TablePanel.java */
import java.awt.*;
import java.applet.*;
import java.io.*;
import java.util.*;
/**
* This class creates a panel with a table canvas and a vertical scrollbar
* to the east of
www.eeworm.com/read/143706/12849545
m netinit.m
function net = netinit(net, prior)
%NETINIT Initialise the weights in a network.
%
% Description
%
% NET = NETINIT(NET, PRIOR) takes a network data structure NET and sets
% the weights and biases by s
www.eeworm.com/read/143706/12849717
m netunpak.m
function net = netunpak(net, w)
%NETUNPAK Separates weights vector into weight and bias matrices.
%
% Description
% NET = NETUNPAK(NET, W) takes an net network data structure NET and a
% weight vect
www.eeworm.com/read/143706/12849992
m mlpprior.m
function prior = mlpprior(nin, nhidden, nout, aw1, ab1, aw2, ab2)
%MLPPRIOR Create Gaussian prior for mlp.
%
% Description
% PRIOR = MLPPRIOR(NIN, NHIDDEN, NOUT, AW1, AB1, AW2, AB2) generates a
% dat