network = MLP(2,2,1)
samples = np.zeros(4, dtype=[('input', float, 2), ('output', float, 1)])
# Example 1 : OR logical function
# -------------------------------------------------------------------------
print "Learning the OR logical function"
network.reset()
samples[0] = (0,0), 0
samples[1] = (1,0), 1
samples[2] = (0,1), 1
samples[3] = (1,1), 1
network.learn(samples)
# Example 2 : AND logical function
# -------------------------------------------------------------------------
print "Learning the AND logical function"
network.reset()
samples[0] = (0,0), 0
samples[1] = (1,0), 0
samples[2] = (0,1), 0
samples[3] = (1,1), 1
network.learn(samples)
# Example 3 : XOR logical function
# -------------------------------------------------------------------------
print "Learning the XOR logical function"
network.reset()
