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added srand to examples

pull/36/head
Lewis Van Winkle 3 years ago
parent
commit
23f2a94216
  1. 6
      example1.c
  2. 4
      example2.c
  3. 3
      example4.c
  4. 2
      test.c

6
example1.c

@ -1,4 +1,6 @@
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include "genann.h"
int main(int argc, char *argv[])
@ -6,6 +8,10 @@ int main(int argc, char *argv[])
printf("GENANN example 1.\n");
printf("Train a small ANN to the XOR function using backpropagation.\n");
/* This will make the neural network initialize differently each run. */
/* If you don't get a good result, try again for a different result. */
srand(time(0));
/* Input and expected out data for the XOR function. */
const double input[4][2] = {{0, 0}, {0, 1}, {1, 0}, {1, 1}};
const double output[4] = {0, 1, 1, 0};

4
example2.c

@ -1,5 +1,6 @@
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <math.h>
#include "genann.h"
@ -8,6 +9,8 @@ int main(int argc, char *argv[])
printf("GENANN example 2.\n");
printf("Train a small ANN to the XOR function using random search.\n");
srand(time(0));
/* Input and expected out data for the XOR function. */
const double input[4][2] = {{0, 0}, {0, 1}, {1, 0}, {1, 1}};
const double output[4] = {0, 1, 1, 0};
@ -27,6 +30,7 @@ int main(int argc, char *argv[])
if (count % 1000 == 0) {
/* We're stuck, start over. */
genann_randomize(ann);
last_err = 1000;
}
genann *save = genann_copy(ann);

3
example4.c

@ -1,5 +1,6 @@
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <string.h>
#include <math.h>
#include "genann.h"
@ -74,6 +75,8 @@ int main(int argc, char *argv[])
printf("GENANN example 4.\n");
printf("Train an ANN on the IRIS dataset using backpropagation.\n");
srand(time(0));
/* Load the data from file. */
load_data();

2
test.c

@ -258,7 +258,7 @@ int main(int argc, char *argv[])
{
printf("GENANN TEST SUITE\n");
srand(100);
srand(100); //Repeatable test results.
lrun("basic", basic);
lrun("xor", xor);

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