代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
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www.eeworm.com/read/150905/12250091
htm glmhess.htm
Netlab Reference Manual glmhess
glmhess
Purpose
Evaluate the Hessian matrix for a generalised linear model.
Synopsis
www.eeworm.com/read/150905/12250159
htm rbfhess.htm
Netlab Reference Manual rbfhess
rbfhess
Purpose
Evaluate the Hessian matrix for RBF network.
Synopsis
h = rbfhe
www.eeworm.com/read/150905/12250164
htm confmat.htm
Netlab Reference Manual confmat
confmat
Purpose
Compute a confusion matrix.
Synopsis
[C, rate] = confmat(y, t)
www.eeworm.com/read/150905/12250172
htm rbfbkp.htm
Netlab Reference Manual rbfbkp
rbfbkp
Purpose
Backpropagate gradient of error function for RBF network.
Synopsis
www.eeworm.com/read/150905/12250319
htm mlphess.htm
Netlab Reference Manual mlphess
mlphess
Purpose
Evaluate the Hessian matrix for a multi-layer perceptron network.
Synopsis
www.eeworm.com/read/150905/12250341
htm knnfwd.htm
Netlab Reference Manual knnfwd
knnfwd
Purpose
Forward propagation through a K-nearest-neighbour classifier.
Synopsis
www.eeworm.com/read/150905/12250571
m mlphess.m
function [h, hdata] = mlphess(net, x, t, hdata)
%MLPHESS Evaluate the Hessian matrix for a multi-layer perceptron network.
%
% Description
% H = MLPHESS(NET, X, T) takes an MLP network data structure
www.eeworm.com/read/150850/12256564
cpp text1.cpp
#include
#include
float matrix[100][100],x[100];
int a[100];
int m,n,s,type;
int indexe,indexl,indexg;
/////////////////////////////////
void jckxj()//基础可行解
{
int i,j;
fo
www.eeworm.com/read/150749/12267136
m validate.m
function [cost,nmodel,output] = validate(model, Xtrain, Ytrain, Xtest, Ytest,estfct, trainfct, simfct)
% Validate a trained model on a fixed validation set
%
% >> cost = validate({X,Y,type,gam,sig2}
www.eeworm.com/read/150749/12267292
m validate.m
function [cost,nmodel,output] = validate(model, Xtrain, Ytrain, Xtest, Ytest,estfct, trainfct, simfct)
% Validate a trained model on a fixed validation set
%
% >> cost = validate({X,Y,type,gam,sig2}