purelin.c

nnToolKit 神经网络工具包是基于 MATLAB 神经网络工具箱自行开发的一组神经网络算法函数库

/*
 * MATLAB Compiler: 3.0
 * Date: Sun May 13 16:47:40 2007
 * Arguments: "-B" "macro_default" "-O" "all" "-O" "fold_scalar_mxarrays:on"
 * "-O" "fold_non_scalar_mxarrays:on" "-O" "optimize_integer_for_loops:on" "-O"
 * "array_indexing:on" "-O" "optimize_conditionals:on" "-M" "-silentsetup" "-d"
 * "d:/MATLAB6p5/work/nnToolKit/src" "-B" "csglcom:nnToolKit,nnToolKit,2.0"
 * "-B" "sgl" "-m" "-W" "main" "-L" "C" "-t" "-T" "link:exe" "-h"
 * "libmmfile.mlib" "-W" "mainhg" "libmwsglm.mlib" "-t" "-W"
 * "comhg:nnToolKit,nnToolKit,2.0" "-T" "link:lib" "-h" "libmmfile.mlib" "-i"
 * "-i" "D:/MATLAB6p5/work/nnToolKit/lmnet/LmSimu.m"
 * "D:/MATLAB6p5/work/nnToolKit/lmnet/LmTrain.m"
 * "D:/MATLAB6p5/work/nnToolKit/sofm/SofmSimu.m"
 * "D:/MATLAB6p5/work/nnToolKit/sofm/SofmTrain.m" 
 */
#include "purelin.h"
#include "libmatlbm.h"
#include "nntobsu.h"

static mxChar _array1_[21] = { 'N', 'o', 't', ' ', 'e', 'n', 'o',
                               'u', 'g', 'h', ' ', 'a', 'r', 'g',
                               'u', 'm', 'e', 'n', 't', 's', '.' };
static mxArray * _mxarray0_;

static mxChar _array3_[5] = { 'd', 'e', 'r', 'i', 'v' };
static mxArray * _mxarray2_;

static mxChar _array5_[8] = { 'd', 'p', 'u', 'r', 'e', 'l', 'i', 'n' };
static mxArray * _mxarray4_;

static mxChar _array7_[4] = { 'n', 'a', 'm', 'e' };
static mxArray * _mxarray6_;

static mxChar _array9_[6] = { 'L', 'i', 'n', 'e', 'a', 'r' };
static mxArray * _mxarray8_;

static mxChar _array11_[6] = { 'o', 'u', 't', 'p', 'u', 't' };
static mxArray * _mxarray10_;
static double _ieee_minusinf_;
static double _ieee_plusinf_;

static double _array13_[2] = { 0.0 /*_ieee_minusinf_*/,
                               0.0 /*_ieee_plusinf_*/ };
static mxArray * _mxarray12_;

static mxChar _array15_[6] = { 'a', 'c', 't', 'i', 'v', 'e' };
static mxArray * _mxarray14_;

static mxChar _array17_[4] = { 't', 'y', 'p', 'e' };
static mxArray * _mxarray16_;
static mxArray * _mxarray18_;

static mxChar _array20_[5] = { 'd', 'e', 'l', 't', 'a' };
static mxArray * _mxarray19_;

static mxChar _array22_[8] = { 'd', 'e', 'l', 't', 'a', 'l', 'i', 'n' };
static mxArray * _mxarray21_;

static mxChar _array24_[7] = { 'p', 'u', 'r', 'e', 'l', 'i', 'n' };
static mxArray * _mxarray23_;

static mxChar _array26_[49] = { 'U', 's', 'e', ' ', 'P', 'U', 'R', 'E', 'L',
                                'I', 'N', '(', 0x0027, 'd', 'e', 'r', 'i',
                                'v', 0x0027, ')', ' ', 'i', 'n', 's', 't',
                                'e', 'a', 'd', ' ', 'o', 'f', ' ', 'P', 'U',
                                'R', 'E', 'L', 'I', 'N', '(', 0x0027, 'd',
                                'e', 'l', 't', 'a', 0x0027, ')', '.' };
static mxArray * _mxarray25_;

static mxChar _array28_[4] = { 'i', 'n', 'i', 't' };
static mxArray * _mxarray27_;

static mxChar _array30_[5] = { 'r', 'a', 'n', 'd', 's' };
static mxArray * _mxarray29_;

static mxChar _array32_[53] = { 'U', 's', 'e', ' ', 'n', 'e', 't', 'w', 'o',
                                'r', 'k', ' ', 'p', 'r', 'o', 'p', 'r', 'e',
                                't', 'i', 'e', 's', ' ', 't', 'o', ' ', 'o',
                                'b', 't', 'a', 'i', 'n', ' ', 'i', 'n', 'i',
                                't', 'i', 'a', 'l', 'i', 'z', 'a', 't', 'i',
                                'o', 'n', ' ', 'i', 'n', 'f', 'o', '.' };
static mxArray * _mxarray31_;

static mxChar _array34_[18] = { 'U', 'n', 'r', 'e', 'c', 'o', 'g', 'n', 'i',
                                'z', 'e', 'd', ' ', 'c', 'o', 'd', 'e', '.' };
static mxArray * _mxarray33_;

static mxChar _array36_[59] = { 'U', 's', 'e', ' ', 'P', 'U', 'R', 'E', 'L',
                                'I', 'N', '(', 'N', 'E', 'T', 'S', 'U', 'M',
                                '(', 'Z', ',', 'B', '*', 'o', 'n', 'e', 's',
                                '(', '1', ',', 'Q', ')', ')', ')', ' ', 'i',
                                'n', 's', 't', 'e', 'a', 'd', ' ', 'o', 'f',
                                ' ', 'P', 'U', 'R', 'E', 'L', 'I', 'N', '(',
                                'Z', ',', 'B', ')', '.' };
static mxArray * _mxarray35_;
static mxArray * _mxarray37_;

void InitializeModule_purelin(void) {
    _mxarray0_ = mclInitializeString(21, _array1_);
    _mxarray2_ = mclInitializeString(5, _array3_);
    _mxarray4_ = mclInitializeString(8, _array5_);
    _mxarray6_ = mclInitializeString(4, _array7_);
    _mxarray8_ = mclInitializeString(6, _array9_);
    _mxarray10_ = mclInitializeString(6, _array11_);
    _ieee_minusinf_ = mclGetMinusInf();
    _array13_[0] = _ieee_minusinf_;
    _ieee_plusinf_ = mclGetInf();
    _array13_[1] = _ieee_plusinf_;
    _mxarray12_ = mclInitializeDoubleVector(1, 2, _array13_);
    _mxarray14_ = mclInitializeString(6, _array15_);
    _mxarray16_ = mclInitializeString(4, _array17_);
    _mxarray18_ = mclInitializeDouble(1.0);
    _mxarray19_ = mclInitializeString(5, _array20_);
    _mxarray21_ = mclInitializeString(8, _array22_);
    _mxarray23_ = mclInitializeString(7, _array24_);
    _mxarray25_ = mclInitializeString(49, _array26_);
    _mxarray27_ = mclInitializeString(4, _array28_);
    _mxarray29_ = mclInitializeString(5, _array30_);
    _mxarray31_ = mclInitializeString(53, _array32_);
    _mxarray33_ = mclInitializeString(18, _array34_);
    _mxarray35_ = mclInitializeString(59, _array36_);
    _mxarray37_ = mclInitializeDouble(2.0);
}

void TerminateModule_purelin(void) {
    mxDestroyArray(_mxarray37_);
    mxDestroyArray(_mxarray35_);
    mxDestroyArray(_mxarray33_);
    mxDestroyArray(_mxarray31_);
    mxDestroyArray(_mxarray29_);
    mxDestroyArray(_mxarray27_);
    mxDestroyArray(_mxarray25_);
    mxDestroyArray(_mxarray23_);
    mxDestroyArray(_mxarray21_);
    mxDestroyArray(_mxarray19_);
    mxDestroyArray(_mxarray18_);
    mxDestroyArray(_mxarray16_);
    mxDestroyArray(_mxarray14_);
    mxDestroyArray(_mxarray12_);
    mxDestroyArray(_mxarray10_);
    mxDestroyArray(_mxarray8_);
    mxDestroyArray(_mxarray6_);
    mxDestroyArray(_mxarray4_);
    mxDestroyArray(_mxarray2_);
    mxDestroyArray(_mxarray0_);
}

static mxArray * Mpurelin(int nargout_, mxArray * n, mxArray * b);

_mexLocalFunctionTable _local_function_table_purelin
  = { 0, (mexFunctionTableEntry *)NULL };

/*
 * The function "mlfPurelin" contains the normal interface for the "purelin"
 * M-function from file "d:\matlab6p5\toolbox\nnet\nnet\purelin.m" (lines
 * 1-94). This function processes any input arguments and passes them to the
 * implementation version of the function, appearing above.
 */
mxArray * mlfPurelin(mxArray * n, mxArray * b) {
    int nargout = 1;
    mxArray * a = NULL;
    mlfEnterNewContext(0, 2, n, b);
    a = Mpurelin(nargout, n, b);
    mlfRestorePreviousContext(0, 2, n, b);
    return mlfReturnValue(a);
}

/*
 * The function "mlxPurelin" contains the feval interface for the "purelin"
 * M-function from file "d:\matlab6p5\toolbox\nnet\nnet\purelin.m" (lines
 * 1-94). The feval function calls the implementation version of purelin
 * through this function. This function processes any input arguments and
 * passes them to the implementation version of the function, appearing above.
 */
void mlxPurelin(int nlhs, mxArray * plhs[], int nrhs, mxArray * prhs[]) {
    mxArray * mprhs[2];
    mxArray * mplhs[1];
    int i;
    if (nlhs > 1) {
        mlfError(
          mxCreateString(
            "Run-time Error: File: purelin Line: 1 Column: "
            "1 The function \"purelin\" was called with mor"
            "e than the declared number of outputs (1)."),
          NULL);
    }
    if (nrhs > 2) {
        mlfError(
          mxCreateString(
            "Run-time Error: File: purelin Line: 1 Column:"
            " 1 The function \"purelin\" was called with m"
            "ore than the declared number of inputs (2)."),
          NULL);
    }
    for (i = 0; i < 1; ++i) {
        mplhs[i] = NULL;
    }
    for (i = 0; i < 2 && i < nrhs; ++i) {
        mprhs[i] = prhs[i];
    }
    for (; i < 2; ++i) {
        mprhs[i] = NULL;
    }
    mlfEnterNewContext(0, 2, mprhs[0], mprhs[1]);
    mplhs[0] = Mpurelin(nlhs, mprhs[0], mprhs[1]);
    mlfRestorePreviousContext(0, 2, mprhs[0], mprhs[1]);
    plhs[0] = mplhs[0];
}

/*
 * The function "Mpurelin" is the implementation version of the "purelin"
 * M-function from file "d:\matlab6p5\toolbox\nnet\nnet\purelin.m" (lines
 * 1-94). It contains the actual compiled code for that M-function. It is a
 * static function and must only be called from one of the interface functions,
 * appearing below.
 */
/*
 * function a = purelin(n,b)
 */
static mxArray * Mpurelin(int nargout_, mxArray * n, mxArray * b) {
    mexLocalFunctionTable save_local_function_table_
      = mclSetCurrentLocalFunctionTable(&_local_function_table_purelin);
    int nargin_ = mclNargin(2, n, b, NULL);
    mxArray * a = NULL;
    mxArray * ans = NULL;
    mclCopyArray(&n);
    mclCopyArray(&b);
    /*
     * %PURELIN Linear transfer function.
     * %  
     * %  Syntax
     * %
     * %    A = purelin(N)
     * %    info = purelin(code)
     * %
     * %  Description
     * %  
     * %    PURELIN is a transfer function.  Transfer functions
     * %    calculate a layer's output from its net input.
     * %  
     * %    PURELIN(N) takes one input,
     * %      N - SxQ matrix of net input (column) vectors.
     * %    and returns N.
     * %  
     * %    PURELIN(CODE) returns useful information for each CODE string:
     * %      'deriv'  - Returns name of derivative function.
     * %      'name'   - Returns full name.
     * %      'output' - Returns output range.
     * %      'active' - Returns active input range.
     * %  
     * %  Examples
     * %
     * %    Here is the code to create a plot of the PURELIN transfer function.
     * %  
     * %      n = -5:0.1:5;
     * %      a = purelin(n);
     * %      plot(n,a)
     * %
     * %  Network Use
     * %
     * %    You can create a standard network that uses PURELIN
     * %    by calling NEWLIN or NEWLIND.
     * %
     * %    To change a network so a layer uses PURELIN, set
     * %    NET.layers{i}.transferFcn to 'purelin'.
     * %
     * %    In either case, call SIM to simulate the network with PURELIN.
     * %    See NEWLIN or NEWLIND for simulation examples.
     * %
     * %  Algorithm
     * %
     * %      purelin(n) = n
     * %
     * %  See also SIM, DPURELIN, SATLIN, SATLINS.
     * 
     * % Mark Beale, 1-31-92
     * % Revised 12-15-93, MB
     * % Revised 11-31-97, MB
     * % Copyright 1992-2002 The MathWorks, Inc.
     * % $Revision: 1.11 $  $Date: 2002/03/25 16:53:19 $
     * 
     * if nargin < 1, error('Not enough arguments.'); end
     */
    if (nargin_ < 1) {
        mlfError(_mxarray0_, NULL);
    }
    /*
     * 
     * % FUNCTION INFO
     * if isstr(n)
     */
    if (mlfTobool(mlfIsstr(mclVa(n, "n")))) {
        /*
         * switch (n)
         */
        mxArray * v_ = mclInitialize(mclVa(n, "n"));
        if (mclSwitchCompare(v_, _mxarray2_)) {
            /*
             * case 'deriv',
             * a = 'dpurelin';
             */
            mlfAssign(&a, _mxarray4_);
        /*
         * case 'name',
         */
        } else if (mclSwitchCompare(v_, _mxarray6_)) {
            /*
             * a = 'Linear';
             */
            mlfAssign(&a, _mxarray8_);
        /*
         * case 'output',
         */
        } else if (mclSwitchCompare(v_, _mxarray10_)) {
            /*
             * a = [-inf +inf];
             */
            mlfAssign(&a, _mxarray12_);
        /*
         * case 'active',
         */
        } else if (mclSwitchCompare(v_, _mxarray14_)) {
            /*
             * a = [-inf +inf];
             */
            mlfAssign(&a, _mxarray12_);
        /*
         * case 'type',
         */
        } else if (mclSwitchCompare(v_, _mxarray16_)) {
            /*
             * a = 1;
             */
            mlfAssign(&a, _mxarray18_);
        /*
         * 
         * % **[ NNT2 Support ]**
         * case 'delta',
         */
        } else if (mclSwitchCompare(v_, _mxarray19_)) {
            /*
             * a = 'deltalin';
             */
            mlfAssign(&a, _mxarray21_);
            /*
             * nntobsu('purelin','Use PURELIN(''deriv'') instead of PURELIN(''delta'').')
             */
            mlfNntobsu(_mxarray23_, _mxarray25_, NULL);
        /*
         * case 'init',
         */
        } else if (mclSwitchCompare(v_, _mxarray27_)) {
            /*
             * a = 'rands';
             */
            mlfAssign(&a, _mxarray29_);
            /*
             * nntobsu('purelin','Use network propreties to obtain initialization info.')
             */
            mlfNntobsu(_mxarray23_, _mxarray31_, NULL);
        /*
         * 
         * otherwise
         */
        } else {
            /*
             * error('Unrecognized code.')
             */
            mlfError(_mxarray33_, NULL);
        /*
         * end
         */
        }
        mxDestroyArray(v_);
        /*
         * return
         */
        goto return_;
    /*
     * end
     */
    }
    /*
     * 
     * % CALCULATION
     * 
     * % **[ NNT2 Support ]**
     * if nargin == 2  
     */
    if (nargin_ == 2) {
        /*
         * nntobsu('purelin','Use PURELIN(NETSUM(Z,B*ones(1,Q))) instead of PURELIN(Z,B).')
         */
        mlfNntobsu(_mxarray23_, _mxarray35_, NULL);
        /*
         * n = n + b(:,ones(1,size(n,2)));
         */
        mlfAssign(
          &n,
          mclPlus(
            mclVa(n, "n"),
            mclArrayRef2(
              mclVa(b, "b"),
              mlfCreateColonIndex(),
              mlfOnes(
                _mxarray18_,
                mlfSize(mclValueVarargout(), mclVa(n, "n"), _mxarray37_),
                NULL))));
    /*
     * end
     */
    }
    /*
     * 
     * a = n;
     */
    mlfAssign(&a, mclVa(n, "n"));
    return_:
    mclValidateOutput(a, 1, nargout_, "a", "purelin");
    mxDestroyArray(ans);
    mxDestroyArray(b);
    mxDestroyArray(n);
    mclSetCurrentLocalFunctionTable(save_local_function_table_);
    return a;
}