def __init__(self, rate, *layout):
FFNeuralBrain.__init__(self, rate, *layout)
if len(self.layout) < 4:
raise RuntimeError("At least 2 hidden layers\
are required for recurrent networking!")
n_feedbackers = int(len(self.hiddens[-1]) * (FEEDBACKERS_PERCENT / 100))
self.feedbackers = self.hiddens[-1][:n_feedbackers]
self.inputs = [RNeuron(self, None, False) for _ in range(layout[0])]
self.hiddens = [[RNeuron(self, inp, True)
for _ in range(n)]
for n in layout[1:-1]]
self.outputs = [RNeuron(self, self.hiddens[-1], False) for _ in range(layout[-1])]
def think(self, stimuli):
stimuli = list(stimuli) + [neuron.output for neuron in self.feedbackers]
return FFNeuralBrain.think(self, stimuli)