예제 #1
0
파일: models.py 프로젝트: kippr/neato
def hand_crafted_xor(i1, i2):
    s1, s2, bias = SensorNeuron(lambda: i1, 's1'), SensorNeuron(lambda: i2, 's2'), BiasNeuron('b1')
    nand = Neuron('nand')
    orr = Neuron('or')
    and_result = Neuron('and=result')
    net = Network((s1, s2, bias, nand, orr, and_result), lambda x: round(x))
    synapses = ((s1, nand, -1), (s1, orr, 1),
                (s2, nand, -1), (s2, orr, 1),
                (bias, nand, 1.5), (bias, orr, -1), (bias, and_result, -1.25),
                (nand, and_result, 1), (orr, and_result, 1))
    for axon, dendrite, weight in synapses:
        net.splice(axon, dendrite, weight)
    return net.activate()
예제 #2
0
파일: model_tests.py 프로젝트: kippr/neato
 def should_fire_until_all_nodes_relaxed(self):
     sensor = SensorNeuron(lambda: 10)
     output = Neuron()
     net = Network((sensor, output))
     net.activate()
     expect((sensor.fire(), output.fire())) == (RELAXED, RELAXED)