Hidden layers in a neural network provide the ability to map non- linear relationship between design variables and objective functions. Training procedure. Given a set of input-output the training algorithm changes the weights of the interconnections between the processing units. After the training of the network we give an input and the neural network produces an approximation of the exact output.

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