backprop.h

足球机器人仿真组CMU97的源码

#ifndef _BACKPROP_
#define _BACKPROP_

#define EPOCHS            3000
#define SAVE_WGTS_FREQ    50
#define DISPLAY_FREQ      10

#define NN_n_inp 3
#define DEFAULT_HIDDENS 4
#define NN_n_out 1

#define DEFAULT_ETA1 .000001
#define DEFAULT_ETA2 .000001

#define DEFAULT_GAMMA1 .999
#define DEFAULT_GAMMA2 1

#define ONLY_SAVES

/*#define TRAIN_FILE      "results/RandomWait.dat"       /* Use "none" for no training    */
#define TRAIN_FILE      "Data/Random.dat"       /* Use "none" for no training    */
#define TEST_FILE       "none"            /* Use "none" for no test        */
#define INITIALIZE_FILE "none"                /* none => random init           */
#define TEST_WEIGHTS    "none"                /* none => test with trained wgts*/

static float INP_BASES[]  =  {  7,  -7,   1,  -15};
static float INP_RANGES[] =  {  7,  14,   1,   30};
static float OUT_BASES[]  =  {0,   2,   0};   /* Don't scale for linear */
static float OUT_RANGES[] =  {1,   3,   1};   /* output unit            */

void  NN_initialize_to_use(char*);
void  NN_use(float*);
void  train(char*, int, int, char**);
void  test(char*);

#endif