NewBrain = Brain()
#We have nothing to go on so we just implement a random brain
#let's start with a simple test 1 layer, 40 neurons
NewBrain.InitializeRandomLayerNeurons(1, 40)
NewCube.ScrambleCube(20)
print("Starting Cube:")
NewCube.Print()
print()
for Moves in range(0, 10):
print("Move: " + str(Moves))
#Feed our brain the information and let it reach a decision
InputNeuronsToActivate = NewCube.GetInputNeuronsToActivate()
for NeuronID in InputNeuronsToActivate:
NewBrain.InputNeurons[NeuronID].Activate(
0) #don't weight the starting gun
HighestOutputNeuron = NewBrain.GetHighestOutputNeuron()
print("Highest Output Neuron is: " + str(HighestOutputNeuron))
print("With Weight: " +
str(NewBrain.OutputNeurons[HighestOutputNeuron].AccumulatedWeight))
#perform the move
if HighestOutputNeuron == 1:
NewCube.RotateWhiteFaceRight()
elif HighestOutputNeuron == 2:
NewCube.RotateWhiteFaceLeft()
elif HighestOutputNeuron == 3:
NewCube.RotateRedFaceRight()
elif HighestOutputNeuron == 4:
