void Start()
{
/*Application.runInBackground = true;
* if (ErrorCheck() == false) {
* testCounter = 0;
* finished = new Semaphore(1, 1);
* nets = new Net[populationSize];
* finishedNetID = new float[populationSize,2];
*
* GenerateInitialNets();
* GeneratePopulation();
* }*/
//float[][] XOR_QUESTION = { new float[]{0, 0}, new float[] { 0, 1}, new float[] { 1, 0}, new float[] { 1, 1} };
//float[][] XOR_ANSWER = { new float[] { 0f }, new float[] { 1f }, new float[] { 1f }, new float[] { 0f } };
float[][] XOR_QUESTION = { new float[] { 0, 0, 0 }, new float[] { 0, 0, 1 }, new float[] { 0, 1, 0 }, new float[] { 0, 1, 1 },
new float[] { 1, 0, 0 }, new float[] { 1, 0, 1 }, new float[] { 1, 1, 0 }, new float[] { 1, 1, 1 } };
float[][] XOR_ANSWER = { new float[] { 0f }, new float[] { 1f }, new float[] { 1f }, new float[] { 0f },
new float[] { 1f }, new float[] { 0f }, new float[] { 0f }, new float[] { 1f } };
Net net = new Net(0, numberOfInputPerceptrons, numberOfOutputPerceptrons, numberOfHiddenLayers, numberOfHiddenPerceptrons, 0f);
net.SetRandomWeights();
for (int i = 0; i < 100000; i++)
{
int randomIndex = UnityEngine.Random.Range(0, 8);
float[] input = XOR_QUESTION[randomIndex];
float[] answer = XOR_ANSWER[randomIndex];
float[] output = net.FireNet(input);
net.BackwardPassNet(output, XOR_ANSWER[randomIndex]);
net.UpdateBackwardPass();
//Debug.Log("Input: " + input[0] + " " + input[1] + " " + answer[0] + " " + output[0]);
}
Debug.Log("@@@@@Test@@@@@@");
for (int i = 0; i < 8; i++)
{
float[] input = XOR_QUESTION[i];
float[] answer = XOR_ANSWER[i];
float[] output = net.FireNet(input);
Debug.Log("Input: " + input[0] + " " + input[1] + " " + input[2] + " Answer: " + answer[0] + " Out: " + output[0] + " Err: " + Mathf.Abs(answer[0] - output[0]));
}
}
