7. Use PSO to evolve the weights for different configurations of neural networks that classify the Iris dataset. Use the Mann-Whitney U test to evaluate the configurations.

Find two configurations for which the null hypothesis is not rejected and two for which it is rejected at the 0.05 level. Limit the values of nl and n2 to 10 or less so that you can use Table 10.1, but justif-y your choices of nl and n2. Hint: You may want to make the network perform terribly on purpose in order to make it easier to reject the null hypothesis.