added srand to examples

example1.c

@@ -1,11 +1,17 @@
 #include <stdio.h>
+#include <stdlib.h>
+#include <time.h>
 #include "genann.h"
 
 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};

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);

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();
 

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);