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https://github.com/codeplea/genann
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added srand to examples
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@ -1,4 +1,6 @@
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#include <stdio.h>
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#include <stdlib.h>
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#include <time.h>
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#include "genann.h"
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int main(int argc, char *argv[])
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@ -6,6 +8,10 @@ int main(int argc, char *argv[])
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printf("GENANN example 1.\n");
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printf("Train a small ANN to the XOR function using backpropagation.\n");
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/* This will make the neural network initialize differently each run. */
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/* If you don't get a good result, try again for a different result. */
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srand(time(0));
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/* Input and expected out data for the XOR function. */
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const double input[4][2] = {{0, 0}, {0, 1}, {1, 0}, {1, 1}};
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const double output[4] = {0, 1, 1, 0};
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@ -1,5 +1,6 @@
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#include <stdio.h>
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#include <stdlib.h>
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#include <time.h>
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#include <math.h>
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#include "genann.h"
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@ -8,6 +9,8 @@ int main(int argc, char *argv[])
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printf("GENANN example 2.\n");
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printf("Train a small ANN to the XOR function using random search.\n");
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srand(time(0));
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/* Input and expected out data for the XOR function. */
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const double input[4][2] = {{0, 0}, {0, 1}, {1, 0}, {1, 1}};
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const double output[4] = {0, 1, 1, 0};
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@ -27,6 +30,7 @@ int main(int argc, char *argv[])
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if (count % 1000 == 0) {
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/* We're stuck, start over. */
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genann_randomize(ann);
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last_err = 1000;
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}
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genann *save = genann_copy(ann);
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@ -1,5 +1,6 @@
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#include <stdio.h>
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#include <stdlib.h>
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#include <time.h>
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#include <string.h>
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#include <math.h>
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#include "genann.h"
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@ -74,6 +75,8 @@ int main(int argc, char *argv[])
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printf("GENANN example 4.\n");
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printf("Train an ANN on the IRIS dataset using backpropagation.\n");
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srand(time(0));
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/* Load the data from file. */
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load_data();
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