1. Use a three layer neural network to classify the two sets of 3-D data set. You should generate 100 samples for each data set based on the following criteria:Data set 1: generate real numbers

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1.      Use a three lamina neural network to collocate the two sets of 3-D facts set. You should originate 100 samples for each facts set domiciled on the forthcoming criteria:

Data set 1: originate actual mass delay X ranges from 2 to 3; Y ranges from 2 to 3; and Z ranges from 0 to 1.

Data set 2: originate actual mass delay X ranges from 0.5 to 1.5; Y ranges from 0.5 to 1.5; and Z ranges from 0 to 1.

Note, instead of backpropagation algorithm, use Simulated Annealing Algorithm.

2.      Repeat completion 1 by using  Genetic Algorithm

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