29 lines
738 B
Python
29 lines
738 B
Python
from Perceptron import Perceptron
|
|
from random import Random
|
|
from Dataset import Dataset
|
|
|
|
rand = Random()
|
|
data = Dataset(open("input.txt").read().split('\n'), open("target.txt").read().split('\n'))
|
|
learn_rate = 0.01
|
|
|
|
p = Perceptron()
|
|
i = data.inputs
|
|
p.add_input("1", 1, rand.uniform(-1, 1))
|
|
p.add_input("2", 1, rand.uniform(-1, 1))
|
|
p.add_input("bias", 1, rand.uniform(-1, 1))
|
|
|
|
# train
|
|
for ind in range(0, 500):
|
|
i = data.inputs
|
|
for key in data.inputs:
|
|
p.input(i[key].value1, i[key].value2)
|
|
print("error: %f" % p.guess(i[key].target, learn_rate))
|
|
|
|
for i in range(0, 1000):
|
|
x = input("Arg1")
|
|
y = input("Arg2")
|
|
p.input(x, y)
|
|
if p.activation() == 1:
|
|
print("TRUE")
|
|
else:
|
|
print("FALSE") |