void Start()
{
gm = GameObject.Find("GameManager").GetComponent <GameManager>();
cs = ColorScheme.baseColor;
botType = gm.botType;
ss = gm.softSign;
numberOfInputs = gm.nInputs;
numberOfOutputs = gm.nOutputs;
numberOfHidden = gm.nHidden;
numberOfLayers = gm.nLayers;
ammo = gm.shotsPerRound;
bulletSpeed = gm.bulletSpeed;
fireRate = gm.fireRate;
movementSpeed = gm.botMoveSpeed;
rb = GetComponent <Rigidbody2D>();
bullet.GetComponent <Bullet>().movementSpeed = bulletSpeed;
CheckType();
sr = GetComponent <SpriteRenderer>();
baseColor = sr.color;
nn = new NeuralNetwork(numberOfInputs, numberOfOutputs, numberOfHidden, numberOfLayers); //Currently using non parametrized constructor.
ID = gameObject.name;
enemy = GameObject.Find("Enemy");
scoreHitTarget = gm.hitScore;
paused = false;
}
public float[] CalculateOutput(float[] inp, SoftSign ss)
{
float[] nextOutVal = new float[0];
int count = 0;
foreach (Matrix wi in wm)
{
count++;
int sizeIn = inp.Length;
float[] input = new float[sizeIn + 1];
//Debug.Log(sizeIn);
for (int i = 0; i < sizeIn - 1; i++)
{
input[i] = inp[i];
}
input[sizeIn] = 1; //bias term
nextOutVal = Vector.matVecMult(input, wi);
if (count != wm.Count)
{
nextOutVal = Relu(nextOutVal);
}
inp = nextOutVal;
}
switch (ss)
{
case SoftSign.yes:
return(Softsign(nextOutVal));
case SoftSign.no:
return(nextOutVal);
}
return(null); //NORMAL SOFTSIGN MODE
//return nextOutVal; //FOR TESTING WITHOUT SOFTSIGN;
}
