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Add input method and implement learning constant

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George Lacey 2017-02-10 13:51:00 +00:00
parent d00a8312cc
commit 79694344a5
1 changed files with 11 additions and 4 deletions
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15
Perceptron.py
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@ -1,5 +1,6 @@
from Input import Input from Input import Input
class Perceptron(object): class Perceptron(object):
def __init__(self): def __init__(self):
@ -10,6 +11,10 @@ class Perceptron(object):
print(key + ":") print(key + ":")
self.inputs[key].print() self.inputs[key].print()
def input(self, p_input1, p_input2):
self.inputs[0] = p_input1
self.inputs[1] = p_input2
def add_input(self, p_name, p_value, p_weight): def add_input(self, p_name, p_value, p_weight):
self.inputs[p_name] = Input(p_value, p_weight) self.inputs[p_name] = Input(p_value, p_weight)
@ -24,14 +29,16 @@ class Perceptron(object):
def activation(self): def activation(self):
input = self._sum_inputs() input = self._sum_inputs()
print("Total = %f" % input) print("Sum of inputs = %f" % input)
if input > 0: if input > 0:
return 1 return 1
else: else:
return -1 return -1
def guess(self, p_desired): def guess(self, p_desired, p_learning_constant):
prediction = float(self.activation()) prediction = float(self.activation())
return p_desired - prediction error = p_desired - prediction
for key in self.inputs:
self.inputs[key].weight += error * self.inputs[key].value * p_learning_constant
return error