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require 'backpropagation'examples = [    [[0, 0], [0]],    [[0, 1], [1]],    [[1, 0], [1]],    [[1, 1], [0]]]net = NeuralNetwork::Backpropagation.new([2, 4, 1])50.times {    examples.each do |ex|        net.train(ex[0], ex[1])    end}examples.each do |ex|    print ex[0], ' => ', net.eval(ex[0]), ', should be ', ex[1], "\n"end