2 output columns, with 5,000 sets of data in each column. Build a multi-layered perceptron neural network, that can learn the relationship between the 3 inputs and 2 outputs using the data sets provided. Clearly provide and explain the following information in the report: a) The NN structure b) The NN parameters c) The NN performance plot d) The number of test sets e) The training results plot f) The training error plots in absolute and percentage values Note: The mat files can be loaded using MATLAB command ‘load'. • Test sets should only be used to evaluate the training results and error plots. (12 marks)
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