45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
from Input import Input
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class Perceptron(object):
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def __init__(self):
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self.inputs = {}
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def print(self):
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for key in self.inputs:
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print(key + ":")
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self.inputs[key].print()
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def input(self, p_input1, p_input2):
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self.inputs[0] = p_input1
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self.inputs[1] = p_input2
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def add_input(self, p_name, p_value, p_weight):
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self.inputs[p_name] = Input(p_value, p_weight)
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def set_weight(self, p_input, p_weight):
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self.inputs[p_input].weight = p_weight
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def _sum_inputs(self):
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total = 0
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for key, value in self.inputs.items():
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total += value.output()
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return total
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def activation(self):
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input = self._sum_inputs()
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print("Sum of inputs = %f" % input)
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if input > 0:
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return 1
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else:
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return -1
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def guess(self, p_desired, p_learning_constant):
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prediction = float(self.activation())
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error = p_desired - prediction
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for key in self.inputs:
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self.inputs[key].weight += error * self.inputs[key].value * p_learning_constant
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return error
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