double learning_rate = 1;
int training_epochs = 1;
int k = 1;
int train_S = 6;
int test_S = 6;
int visible_E = 6;
int hidden_E = 6;
// training data
int train_X[6][6] = {
{1, 1, 1, 0, 0, 0},
{1, 0, 1, 0, 0, 0},
{1, 1, 1, 0, 0, 0},
{0, 0, 1, 1, 1, 0},
{0, 0, 1, 1, 1, 0},
{0, 0, 1, 1, 1, 0}
};
上面的代码是我给我的函数输入的参数。但我想把它们转换成一个带有mexFunction的函数,然后简单地调用它们。 matlab方面有以下内容
clear *
close all
clc
%% Load the data
X= [ 1, 1, 1, 0, 0, 0; ...
1, 0, 1, 0, 0, 0; ...
1, 1, 1, 0, 0, 0; ...
0, 0, 1, 1, 1, 0; ...
0, 0, 1, 1, 1, 0; ...
0, 0, 1, 1, 1, 0];
%% Define Parameters
numHiddenUnits = 6;
numIterations = 1000;
kCD = 1;
%% Compute the RBM
x = RBM(X, numHiddenUnits, numIterations, kCD);
答案 0 :(得分:0)
标量输入参数非常简单。矩阵输入有点棘手,因为它们使用旧式Fortran列主要顺序,您可能需要在将数据发送到函数之前转置数据。这是一个例子,你必须填补空白:
/*=========================================================
* Built on:
* matrixDivide.c - Example for illustrating how to use
* LAPACK within a C MEX-file.
*
* This is a MEX-file for MATLAB.
* Copyright 2009 The MathWorks, Inc.
*=======================================================*/
/* $Revision: 1.1.6.2 $ $Date: 2009/05/18 19:50:18 $ */
#include "mex.h"
void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
{
double * pX, * pNumHiddenUnits, * pNumIter, * pkCD; /* pointers to inputs */
double * pOutput; /* output arugments */
mwSignedIndex m,n; /* matrix dimensions */
int i, j;
/* Check for proper number of arguments. */
if ( nrhs != 4)
{
mexErrMsgIdAndTxt("MATLAB:RBM:rhs",
"This function requires 4 inputs.");
}
pX = mxGetPr(prhs[0]); /* pointer to first input, X matrix */
pNumHiddenUnits = mxGetPr(prhs[1]); /* pointer to second input, scalar hidden units */
pNumIter = mxGetPr(prhs[2]); /* pointer to third input, scalar number of iterations */
pkCD = mxGetPr(prhs[3]); /* pointer to third input, scalar kCD */
/* dimensions of input matrix */
m = (mwSignedIndex)mxGetM(prhs[0]);
n = (mwSignedIndex)mxGetN(prhs[0]);
/* Validate input arguments */
if (m < 1 && n < 1)
{
mexErrMsgIdAndTxt("MATLAB:RBM:notamatrix",
"X must be a matrix.");
}
plhs[0] = mxCreateDoubleMatrix(m, n, mxREAL);
pOutput = mxGetPr(plhs[0]);
for (i = 0; i < n; ++i)
{
for (j = 0; j < m; ++j)
{
int index = j * n + i;
pOutput[index] = pX[i * m + j];
}
}
}
/* */