public void backwardHidden(neuralNet nn)
{
int index = nn.layers.IndexOf(this);
for (int i = 0; i < neurons.Length; i++)
{
neurons[i].backwardHidden(this, nn.layers[index + 1]);
}
//Console.WriteLine(nn.layers[index + 1].layerName);
}
//a.compareTo(b) -> a-b
public int compareTo(neuralNet other)
{
if (this.getReward() > other.getReward())
{
return(1);
}
if (this.getReward() < other.getReward())
{
return(-1);
}
return(0);
}
//best weigth & bias need to be issued from a neuralnet with SAME layer[] var
public void instantiate(int[] layers, int type /*1=random, 2=10%, 3=1%, 4=best*/, float[][][] bestWeight, float[][] bestBias)
{
brain = new neuralNet(layers);
outputs = new float[layers[layers.Length - 1]];
//speed = 12;
//rotateSpeed = 25;
score = 0;
Renderer rend = GetComponent <Renderer>();
rend.material.shader = Shader.Find("Specular");
if (type == 1)
{
GetComponent <Renderer>().material = red;
brain.initiateRandom(biasRange, weigthRange);
}
else if (type == 2)
{
GetComponent <Renderer>().material = yellow;
brain.initiate(bestBias, bestWeight);
brain.mutate(10.0f);
}
else if (type == 3)
{
GetComponent <Renderer>().material = cyan;
brain.initiate(bestBias, bestWeight);
brain.mutate(1.0f);
}
else if (type == 4)
{
GetComponent <Renderer>().material = blue;
brain.initiate(bestBias, bestWeight);
brain.mutate(0.1f);
}
else if (type == 5)
{
GetComponent <Renderer>().material = green;
brain.initiate(bestBias, bestWeight);
}
else
{
Destroy(gameObject);
}
//bias = getBias();
//weight = getWeights();
}
