C++ TrainingSet::train方法代码示例

//*******************************************************************
// WinMain - Neural main
//
// parameters:
//             hInstance     - The instance of this instance of this
//                             application.
//             hPrevInstance - The instance of the previous instance
//                             of this application. This will be 0
//                             if this is the first instance.
//             lpszCmdLine   - A long pointer to the command line that
//                             started this application.
//             cmdShow       - Indicates how the window is to be shown
//                             initially. ie. SW_SHOWNORMAL, SW_HIDE,
//                             SW_MIMIMIZE.
//
// returns:
//             wParam from last message.
//
//*******************************************************************
int PASCAL WinMain(HINSTANCE hInstance, HINSTANCE hPrevInstance,
						 LPSTR lpszCmdLine, int cmdShow)
{


/*
	Declarations of local variables
*/

	int control_file_number = -1 ;           // Stack pointer for control files
	FILE *control_files[MAX_CONTROL_FILES] ; // This is the stack

	char *control_line ;    // User's commands here
	char *command, *rest ;  // Pointers to its command and parameter parts
	int n_command, n_rest ; // Lengths of those parts

	int net_model = -1 ;     // Network model (see NETMOD_? in CONST.H)
	int out_model = -1 ;     // Output model (see OUTMOD_? in CONST.H)
	int n_inputs = -1 ;      // Number of input neurons
	int n_outputs = -1 ;     // Number of output neurons
	int n_hidden1 = -1 ;     // Number of hidden layer one neurons
	int n_hidden2 = -1 ;     // Ditto layer 2 (0 if just one hidden layer)


	TrainingSet *tset = NULL ;            // Training set here
	Network *network = NULL ;             // Network here
	struct LearnParams learn_params ;     // General learning parameters
	struct AnnealParams anneal_params ;   // Simulated annealing parameters
	struct GenInitParams geninit_params ; // Genetic initialization parameters
	struct KohParams koh_params ;         // Kohonen parameters

	int classif_output = -1 ;  // Current class (0=reject) for classif training
	char out_file[80] = "" ;   // File for EXECUTE output
	float threshold ;         // CLASSIFY confusion reject cutoff
	char resp_file[80]="";     // file for initializing output neuron's name
	char train_file[80]="";
/*
	Miscellaneous variables
*/

	int i, n, m ;
	float p ;
	char *msg ;
	FILE *fp ;
	unsigned long me,mc;
	char *fname;
	char *control;

#if VERSION_16_BIT
	if (sizeof(int) > 2) {
		printf ( "\nRecompile with VERSION_16_BIT set to 0 in CONST.H" ) ;
		exit ( 1 ) ;
		}
#else
	if (sizeof(int) < 4) {
		printf ( "\nRecompile with VERSION_16_BIT set to 1 in CONST.H" ) ;
		exit ( 1 ) ;
		}
#endif


printf ( "\nNEURAL SYSTEM - Program to train and test neural networks" ) ;

if (argc>1)
{
  strcpy(fname,argv[1]);
}


/*
   Process command line parameters
*/

   mem_name[0] = 0 ;  // Default is no memory allocation file
 /*
   if (strlen ( mem_name )) {
      strcat ( mem_name , ":mem.log" ) ;
      fp = fopen ( mem_name , "wt" ) ;
      if (fp == NULL) {
	 printf ( "\nCannot open debugging file %s", mem_name ) ;
	 exit ( 1 ) ;
//.........这里部分代码省略.........

int main (
   int argc ,    // Number of command line arguments (includes prog name)
   char *argv[]  // Arguments (prog name is argv[0])
   )

{

/*
   Declarations of local variables
*/

/*
   User's command control line related variables are here.
   Control_file_number and control_files permit nesting of 'CONTROL' commands.
   If control_file_number equals -1, control commands are read from stdin.
   Otherwise they are read from that file in FILE *control_files.
   Up to MAX_CONTROL_FILES can be stacked.
*/

   int control_file_number = -1 ;           // Stack pointer for control files
   FILE *control_files[MAX_CONTROL_FILES] ; // This is the stack

   char *control_line ;    // User's commands here
   char *command, *rest ;  // Pointers to its command and parameter parts
   int n_command, n_rest ; // Lengths of those parts

/*
   These are network parameters which may be set by the user via commands.
   They are initialized to defaults which indicate that the user has not
   yet set them.  As they are set, their current values are placed here.
   When learning is done for a network, their values are copied from here
   into the network object.  When a network is read, the object's values
   are copied from it to here.  Otherwise, these variables are not used;
   the values in the network object itself are used.  The only purpose of
   these variables is to keep track of current values.
*/

   int net_model = -1 ;     // Network model (see NETMOD_? in CONST.H)
   int out_model = -1 ;     // Output model (see OUTMOD_? in CONST.H)
   int n_inputs = -1 ;      // Number of input neurons
   int n_outputs = -1 ;     // Number of output neurons
   int n_hidden1 = -1 ;     // Number of hidden layer one neurons
   int n_hidden2 = -1 ;     // Ditto layer 2 (0 if just one hidden layer)


   TrainingSet *tset = NULL ;            // Training set here
   Network *network = NULL ;             // Network here
   struct LearnParams learn_params ;     // General learning parameters
   struct AnnealParams anneal_params ;   // Simulated annealing parameters
   struct GenInitParams geninit_params ; // Genetic initialization parameters
   struct KohParams koh_params ;         // Kohonen parameters

   int classif_output = -1 ;  // Current class (0=reject) for classif training
   char out_file[80] = "" ;   // File for EXECUTE output
   double threshold ;         // CLASSIFY confusion reject cutoff

/*
   Miscellaneous variables
*/

   int i, n, m ;
   double p ;
   char *msg ;
   FILE *fp ;

/*
--------------------------------------------------------------------------------

   Program starts here.

   Verify that a careless user didn't fail to set the integer size
   correctly when compiling.

--------------------------------------------------------------------------------
*/

#if VERSION_16_BIT
   if (sizeof(int) > 2) {
      printf ( "\nRecompile with VERSION_16_BIT set to 0 in CONST.H" ) ;
      exit ( 1 ) ;
      }
#else
   if (sizeof(int) < 4) {
      printf ( "\nRecompile with VERSION_16_BIT set to 1 in CONST.H" ) ;
      exit ( 1 ) ;
      }
#endif

printf ( "\nNEURAL - Program to train and test neural networks" ) ;
printf("\nCopyright (c) 1993 by Academic Press, Inc.");
printf("\nAll rights reserved.  Permission is hereby granted, until further notice,");
printf("\nto make copies of this diskette, which are not for resale, provided these");
printf("\ncopies are made from this master diskette only, and provided that the");
printf("\nfollowing copyright notice appears on the diskette label:");
printf("\n(c) 1993 by Academic Press, Inc.");
printf("\nExcept as previously stated, no part of the computer program embodied in");
printf("\nthis diskette may be reproduced or transmitted in any form or by any means,");
printf("\nelectronic or mechanical, including input into storage in any information");
printf("\nsystem for resale, without permission in writing from the publisher.");
printf("\nProduced in the United States of America.");
//.........这里部分代码省略.........