//Updates nerual net with new inputs from the balancer
private void UpdateNet()
{
float boardVelocity = trackRigidbody.velocity.x; //get current velocity of the board
//both poles angles in radians
float pole1AngleRadian = Mathf.Deg2Rad * pole1Rigidbody.transform.eulerAngles.z;
float pole2AngleRadian = Mathf.Deg2Rad * pole2Rigidbody.transform.eulerAngles.z;
//both poles angular velocities
float pole1AngularVelocity = pole1Rigidbody.angularVelocity;
float pole2AngularVelocity = pole2Rigidbody.angularVelocity;
float[] inputValues = { boardVelocity, pole1AngleRadian, pole2AngleRadian, pole1AngularVelocity, pole2AngularVelocity }; //gather pole and track data into an array
float[] output = net.FireNet(inputValues); //caluclate new neural net output with given input values
trackRigidbody.velocity += new Vector2(output[0], 0); //update track velocity with neural net output
net.AddNetFitness(Time.deltaTime);
}