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 with X ranges from 2 to 3; Y ranges from 2 to 3; and Z ranges from 0 to 1.
Data set 2: generate real numbers with 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 problem 1 by using Genetic Algorithm
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