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Single Layer Perceptron (newp)
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Use  :py:func:`neurolab.net.newp`

::

	import neurolab as nl

	# Logical &
	input = [[0, 0], [0, 1], [1, 0], [1, 1]]
	target = [[0], [0], [0], [1]]
	# Create net with 2 inputs and 1 neuron
	net = nl.net.newp([[0, 1],[0, 1]], 1)
	# train with delta rule
	# see net.trainf
	error = net.train(input, target, epochs=100, show=10, lr=0.1)
	# Plot results
	import pylab as pl
	pl.plot(error)
	pl.xlabel('Epoch number')
	pl.ylabel('Train error')
	pl.grid()
	pl.show()

:Result:
	.. image:: _static/newp.png