def __init__(self, cnt):
n = Network()
n.add( Layer('input', 2) )
n.add( Layer('hidden', 3) )
n.add( Layer('output', 1) )
n.connect('input', 'hidden')
n.connect('hidden', 'output')
n.setInputs([[0.0, 0.0],
[0.0, 1.0],
[1.0, 0.0],
[1.0, 1.0]])
n.setOutputs([[0.0],
[1.0],
[1.0],
[0.0]])
n.setVerbosity(0)
n.setTolerance(.4)
n.setLearning(0)
g = n.arrayify()
self.network = n
GA.__init__(self,
Population(cnt, Gene, size=len(g), verbose=1,
min=-10, max=10, maxStep = 1,
imin=-10, imax=10,
elitePercent = .01),
mutationRate=0.05, crossoverRate=0.6,
maxGeneration=400, verbose=1)
